Databricks

Own customer technical strategy, lead data and AI architecture discussions, build and demonstrate solutions, and drive platform adoption. | Requires 6+ years in solutions architecture, data engineering, technical presales, or senior technical work, plus strong Python and SQL, distributed data systems, cloud deployments, and customer-facing architecture leadership. | FEQ427R695 Location Requirement: This is a remote position, but candidates must currently reside in California. We are only considering applicants who are based in California for this opportunity. As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain. The Impact You Will Have • Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth • Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics • Serve as a trusted technical advisor to customer architects, engineering leads, and Directors • Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions • Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain • Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs • Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For • 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role • Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills • Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms • Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations) • Proven ability to lead architecture discussions with senior technical stakeholders — whiteboarding, design reviews, and trade-off analysis • Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations • Track record of driving platform adoption and consumption growth within accounts • Excellent communication skills — able to translate complex architectures into business value for both technical and executive audiences • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience) Nice to Have: • Databricks certifications (Data Engineer, ML, Platform) • Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) — understanding the landscape you'll position against • Background in a data/AI company or cloud provider • Industry domain expertise (Financial Services, Healthcare, Retail, Media, etc.) Interview Process: Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range $180,000—$247,500 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Lead and scale a Financial Services solutions architecture team, developing its members and partnering across the business to support revenue and customer success. | Requires 8+ years in data technologies such as warehousing, big data, or machine learning, plus experience building and leading technical pre-sales teams and influencing complex architectures. | P-5 Candidates in the listed region are encouraged for this role, we are open to remote candidates with a preference in the North East or Midwest at one of our office hubs. Mission Reporting to a Director, Field Engineering, the Sr. Manager, Field Engineering will help lead a team of Solutions Architects (SAs) for the Financial Services segment of Databricks’ Regulated Industries Field Engineering team. You will lead and promote a diverse team focusing on enterprise software, big data/analytics, data engineering, data science, data warehousing and generative AI. Leading the technical sales team, you will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers achieve success through Databricks’ Data Intelligence Platform. You wil scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks' growth in the market. The Impact You Will Have You will hire, train, and grow a team of Solutions Architects for a company in high-growth mode Make your customers extremely successful with Databricks and provide outsized value to their businesses You will maintain a robust hiring pipeline of highly qualified, bar-raising candidates You will establish relationships across the business to make your customers and team successful You will keep your team of SAs ahead of the technical curve by ensuring they maintain advanced knowledge of the Databricks technology stack You will ensure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs What We Look For Proven experience building and leading technical pre-sales teams - hiring, on-boarding, coaching and mentoring those teams to mature and grow into highly capable individual operators as well as exceptional team-players 8+ years of experience in the data space with a technical product (i.e. data warehousing, big data, machine learning, or more recently with generative AI) Trusted advisor to technical executives that guide strategic data infrastructure decisions Lead a team through best practices for technical qualification, technical validations, architecture discussions, and product demonstrations Strong understanding of consumption-driven business models and the recipes for long term growth and success Experience hiring candidates that continually raise the bar, ramping them up to be successful, and promoting into larger roles Create a positive culture and morale for the team - fostering strong working relationships between Field Engineering, Sales, and other important internal cross-functional teams Experience working cross-functionally with other teams such as Sales, Product Management, Engineering, and Customer Success Must be technical enough to earn the trust of Engineering talent and leadership at Databricks Ability to influence and review complex architectures; guiding your team and customers towards ideal solutions - that scale Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $192,100—$264,175 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

You would hire and develop a technical Solutions Architect team, guide customer workload adoption, meet account targets, and coordinate with sales, product, services, and engineering. | The role asks for 4+ years in data technologies, 3+ years building and leading customer-facing technical teams, and a track record of strategic account growth and executive alignment. | As the manager of the Digital Natives Solutions Architect (SA) team, you will focus on growing and developing a team of SAs, driving the adoption of the Databricks Platform at the largest, fastest-growing tech companies. You'll be responsible for leading the team in establishing best practices throughout the full lifecycle of the customers' workloads. You will help each team member achieve success, productivity, and career growth. You will also represent Databricks as a technical leader with some of its most important customers. This role will work in close collaboration with sales, services, product, and engineering to drive solutions and outcomes for these highly technical customers. You will utilize excellent communication skills to clearly explain and demonstrate complex solutions to both internal and external stakeholders. This role will report to the Director of Solutions Architecture for the Strategic Digital Native Business Unit. Responsibilities • Hire and develop a team of deeply technical Solutions Architects capable of guiding digital native customers across a wide range of data, analytical, and AI workloads. • Adapt the SA team's skills and engagement model to match the needs of Digital native customers • Consistently meet or exceed targets by making sure the SA team knows how to technically qualify workloads, identify important use cases, build proof of concepts, and establish themselves as trusted advisors throughout the customer life-cycle • Travel to customer sites for executive sessions, technical workshops, and building relationships • Establish relationships across internal organizations (engineering, product, services, sales, etc.) to ensure the success of the customers and team • Stay current with emerging Data and AI trends in the digital native tech sector What We Look For • 4+ years of experience in the data space with a technical product (i.e. data warehousing, big data, cloud infrastructure, or machine learning) • 3+ years of experience building and leading technical customer-facing teams: hiring, onboarding, and supporting team members in a high-growth environment • A history of building a territory, growing strategic accounts, and exceeding targets • Inspiring a team vision about the unique nature of the digital natives business • A history of execution by managing workloads and consumption with sales, product, and engineering counterparts • Experience owning executive alignment in accounts that guide strategic decisions Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $172,500—$237,150 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Define the architecture and lead development of a governed Security AI platform for agentic workflows, establishing technical standards with engineering and security leaders. | Requires 10+ years of senior software engineering or security platform architecture experience, exceptional Python and cloud-native fluency, and deep AI/ML security expertise. | RDQ327R179 While candidates in the listed location(s) are encouraged for this role, candidates in other (US) locations will be considered. About the Team The Agentic Security Engineering team is a horizontal, shared services engineering team that enables every Databricks security function AI-native. We enable building the AI agents, "personas," and own the shared platform that security teams across the org (Detection & Response, Threat Intelligence, Vulnerability & Product Security, Red Team, GRC, and Continuous Monitoring) build on to operate at machine speed, safely and reliably. We leverage AI to transform how security is done. The Role As a Senior Staff Security Software Engineer on the Agentic Security Engineering team, you will be a senior technical authority and architect for Databricks’ shared Security AI platform. You will define the platform architecture, technical standards, and multi-year engineering direction that allow security teams to build, deploy, and operate governed AI personas safely at scale. Your work will span secure agent identity, isolation and sandboxing, policy enforcement, auditability, observability, evaluation, orchestration, and reliable integration with Databricks and security infrastructure. You will operate across organizational boundaries, aligning engineering and security leaders on platform architecture, driving adoption of common patterns, and resolving complex technical problems that affect multiple security functions. You will influence the quality, safety, reliability, and velocity of the broader Security AI ecosystem without owning the domain logic or business outcomes of every individual persona. The Impact You Will Have Shared Security AI Platform Architecture Define and evolve the architecture for the shared Security AI platform and its paved road for governed agentic workflows. Establish reusable patterns for agent identity, least-privilege access, sandboxing, egress control, secret isolation, policy enforcement, auditability, and rollback. Set engineering standards for reliability, observability, evaluation, incident response, cost instrumentation, and safe production deployment. Make high-leverage build, buy, and adopt decisions that keep the platform focused on security-specific capabilities while using Databricks platform primitives wherever they meet the need. Design the platform to support secure multi-agent workflows, tool registries, policy-aware orchestration, and agent-to-agent collaboration. Reliable and Safe Agentic Systems at Scale Lead the design and development of production-grade platform capabilities that enable security personas to operate reliably across a growing AI and security surface. Define how the platform measures successful runs, latency, failure rates, rollback readiness, safety, governance coverage, trust, autonomy, and business value. Establish qualification and maturity mechanisms that determine what a security persona may do, what controls it requires, and how it earns additional autonomy. Drive technical solutions for high-risk workflows, including offensive security personas, untrusted inputs, sensitive data, production access, and automated tool execution. Improve the velocity of safe AI development without compromising security, governance, or operational reliability. Cross-Organizational Technical Leadership Serve as a technical authority for the shared Security AI platform across Security Operations, Product Security, Governance and Risk, Compliance and Assurance, Enterprise Security, and other partner functions. Align engineering and security leaders on platform direction, architectural tradeoffs, adoption priorities, and standards for safe agentic systems. Partner with AI Champions and domain teams to turn recurring cross-functional needs into reusable platform capabilities. Represent the platform in architecture reviews and technical decisions involving agent identity, isolation, policy, observability, evaluation, orchestration, and secure integration. Drive adoption of common platform patterns and retire duplicated or inconsistent implementations across security teams. Mentorship and Team Capability Mentor engineers on distributed systems, platform architecture, AI security engineering, agentic threat modeling, and technical leadership. Lead high-rigor design reviews and raise the bar for reliability, operability, security, and maintainability. Help establish a culture of measurable outcomes, disciplined evaluation, safe experimentation, and continuous improvement. Influence technical direction beyond the immediate team through clear written proposals, architecture reviews, and cross-functional execution. What We Look For 10+ years of progressive experience in software engineering, security platform architecture, or systems security, with a proven track record of operating at an L7/Senior Staff level at a major cloud, platform, or high-growth tech company. Production Systems Engineering: Exceptional fluency in Python and modern cloud-native systems architecture (Kubernetes, distributed streaming/storage, high-throughput microservices) with experience delivering fault-tolerant, low-latency security infrastructure. Multi-Org Architectural Execution: Demonstrated ability to align multiple VP/Engineering Director-level organizations on complex technical strategies and successfully ship multi-quarter architectural transformations. Deep practical expertise in AI/ML security, agentic system trust boundaries, prompt injection and tool-use risks, adversarial testing, identity and authorization, data protection, and secure deployment of AI-enabled systems. Experience designing platform guardrails for sensitive workflows involving untrusted input, privileged tools, secrets, production systems, or confidential data. Strong technical communication skills, including the ability to explain complex platform, security, and reliability tradeoffs to engineers, security leaders, and senior executives. A track record of raising the technical bar through design reviews, mentorship, written architecture proposals, and influence beyond formal reporting lines. Nice to Have Experience building secure agent platforms, developer platforms, security control planes, or internal infrastructure used by multiple teams. Experience with MLOps, AI serving infrastructure, security data platforms, detection systems, or large-scale security automation. Published research, patents, or recognized contributions in adversarial ML, AI safety frameworks, or open-source security platforms. Hands-on experience building or securing large-scale LLM training pipelines, vector databases, or AI agent runtime environments. Deep understanding of emerging global AI regulatory technical requirements (EU AI Act, NIST AI RMF) and how to encode them into engineering primitives. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range $228,600—$314,250 USD Zone 2 Pay Range $205,700—$282,800 USD Zone 3 Pay Range $194,200—$267,100 USD Zone 4 Pay Range $182,900—$251,450 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Lead and coach 8–10 customer-facing field engineers while guiding technical sales strategy, customer engagements, and team operations. | Requires experience leading technical customer-facing teams, partnering with Sales on complex engagements, and working in cloud, data, AI, analytics, software, or technical consulting. | FEQ227R233 MANAGER, FIELD ENGINEERING About The Role As a Manager, Field Engineering, you will lead a team of technical customer advisors who help organizations solve complex data, analytics, and AI challenges. You will work closely with Sales and cross-functional partners to translate customer priorities into effective technical strategies, strong customer outcomes, and durable business impact. This role is typically aligned to an account district, patch, segment, or comparable portfolio and leads a team of approximately 8–10 Field Engineering professionals. You will stay close to the work while building the coaching, operating, and collaboration practices that enable your team to succeed. The Impact You Will Have • Lead, coach, and develop a high-performing and inclusive Field Engineering team. • Partner with account teams to define technical-win strategy, qualify opportunities, prioritize customer needs, and align team resources. • Build trusted relationships with customer stakeholders, including Director-, Head of, and VP-level audiences as appropriate to the engagement. • Guide discovery, solution strategy, architecture discussions, adoption planning, and value realization for customer engagements. • Establish regular operating rhythms to inspect progress, customer health, technical risk, escalations, capacity, and business impact. • Coach team members to communicate clearly, navigate ambiguity, influence stakeholders, and connect technical recommendations to business outcomes. • Maintain technical credibility across Databricks platform concepts, data and AI technologies, cloud architecture, governance, security, and networking. • Represent customer needs internally and partner with Product, Engineering, Support, Professional Services, Marketing, and Partners to resolve issues and improve outcomes. • Create a culture of psychological safety, inclusion, accountability, continuous learning, and recognition. • Experiment with AI-enabled tools and repeatable practices that improve team productivity and customer impact. What We Look For • Experience leading technical customer-facing professionals in enterprise software, cloud, data, AI, analytics, technical consulting, or a related environment. • A track record of hiring, coaching, motivating, and retaining strong technical talent. • Ability to provide timely feedback, hold clear career conversations, recognize contributions, and address performance issues directly and compassionately. • Strong customer-advisory skills, including discovery, executive communication, technical storytelling, and value-based solutioning. • Practical technical judgment and the ability to coach team members through architecture, deployment, adoption, and risk discussions. • Operational discipline: you use data and inspection mechanisms to identify issues, make priorities visible, remove blockers, and drive predictable execution. • An AI-first, builder mindset: you learn quickly, test new approaches, incorporate feedback, and use AI to improve customer and team outcomes. • Demonstrated alignment with Databricks Culture Principles, including humility, curiosity, transparency, inclusion, and accountability. Basic Qualifications • Experience managing or leading a technical customer-facing team. • Experience partnering with Sales and cross-functional teams through complex, multi-stakeholder customer engagements. • Experience in data platforms, analytics, AI, cloud, software, technical consulting, or a related technical domain. • Strong written, verbal, presentation, and stakeholder-management skills. • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience. Preferred Qualifications • Experience with Databricks or comparable data and AI platforms. • Experience building trusted relationships with senior technical and business stakeholders. • Experience using data, automation, or AI-enabled tools to improve team effectiveness. • Experience supporting customers across multiple use cases, technical environments, or business functions. #CMEG Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range $172,500—$237,150 USD Zone 2 Pay Range $172,500—$237,150 USD Zone 3 Pay Range $172,500—$237,150 USD Zone 4 Pay Range $172,500—$237,150 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Respond to high-priority incidents on a 24/7 team, conduct security analysis and forensics, and build AI- and agentic-platform automation for incident response. | Requires an active US government secret clearance, a bachelor's degree with 7+ years or master's degree with 5+ years, cloud security proficiency, and AI/LLM experience. | RDQ227R1180 While candidates in the listed location(s) are encouraged for this role, candidates in other locations (US based) will be considered. The Incident Response team's mission is to respond to security threats, incidents and investigations to protect our customers, employees and enterprise data in a fast, efficient and standardised manner. We're a tight-knit team of security incident responders and incident handlers doing "Security for Databricks on Databricks", using our own platform to create near-real-time log analytics, alerting and forensics. You will be an individual contributor on the security Incident Response (IR) team at Databricks, reporting to the regional IR manager. You will be responsible for conducting security analysis and forensics, responding to high-priority alerts and contributing to automations and agentic capabilities. You will be a security multiplier and help the team scale security incident response at Databricks. The impact you will have: You will respond to incidents as part of a distributed 24x7 operations and on-call schedule. You will triage and respond to security events and alerts, ensuring quick and effective containment. You will conduct analysis and forensics across a range of data sources to determine the timeline and impact of security events. You will provide technical leadership and influence team direction. You will develop solutions, including leveraging AI and agentic platforms, to deliver autonomous capabilities, expedite your work and scale the impact of the team. You will communicate technical decisions through design docs and tech talks, and mentor junior security responders via security guidance, design reviews and code reviews. What we look for: Must have an active or current US GOV Secret clearance eligibility; Top Secret preferred. Bachelor's Degree AND 7+ years experience in Incident Response work OR Master's Degree AND 5+ years experience. Cloud security expertise in at least 1 of AWS, GCP or Azure, and proficiency in the others. Proficiency in AI/LLM and agentic capabilities. Prefer experience with building and operating agentic systems in a security setting. Broad security subject matter expertise. Expertise in a few core IR skills (DFIR , Reverse Engineering, Traditional Network Security, Storage and access security, Sandboxing, Compute security, etc.). Experience with Enterprise Security and SaaS applications. Working knowledge of a SIEM and SOAR. Experience building Incident Response Tooling, scripting language skills and experience with AI coding tools. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Define and own security program strategy and roadmap, drive cross-functional initiatives, and oversee complex security engineering projects. | Bachelor's degree and 8+ years in technical or security program management with deep technical literacy in IAM, cloud security, and distributed systems. | P-1489 About Databricks At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers, and customer obsessed, we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. About the Role As a Staff Technical Program Manager (TPM) for Trust & Safety Engineering, you will drive technical execution across infrastructure initiatives that protect platform integrity, user identity, and data privacy at scale. You will work directly with Security Engineering, Identity Infrastructure, Machine Learning, and Core Platform teams to design, build, and deploy systems for authentication, access control, and anomaly detection. Working embedded within engineering groups, you will translate identity protocols, privacy-by-design principles, and threat mitigation models into clear technical specifications, system dependencies, and actionable execution roadmaps. This role is focused on technical execution, resolving complex engineering dependencies, and delivering scalable systems that guarantee identity integrity and prevent platform abuse. Key Responsibilities Define, articulate, and own the security program strategy and roadmap, ensuring alignment with Databricks’ business and product goals. Drive initiatives across Identity Infrastructure, Data Governance, Platform Security, Machine Learning, and Trust Engineering. Oversee execution of complex security engineering multi-half initiatives (AuthN/AuthZ/Secret/PKI/Cryptography,etc), demonstrating ownership from strategy through outcomes. Leverage deep technical knowledge of cloud, distributed systems, and security engineering to influence design decisions, proactively identify risks, and remove roadblocks. Define and track security metrics (KPIs, OKRs), using data to drive decisions, communicate program health, and measure business impact. Present program status, risks, and progress to executive and technical audiences, building trust and ensuring transparency around security posture. What You'll Bring Proven experience leading large-scale, ambiguous security programs that operate across organizational boundaries, ideally in cloud-native or SaaS environments. Strong strategic thinking, with the ability to see the big picture, translate vision into execution, and drive alignment across senior stakeholders. Deep technical literacy in IAM (OAuth 2.0 / OIDC), data privacy controls, anomaly detection pipelines, abuse prevention systems and risk assessment, comfortable partnering directly with engineering leaders and architects. Ability to develop scalable solutions, optimize processes, and foster a “security by default” mindset across engineering and developer teams. Data-driven approach: skilled at defining effective metrics, surfacing insights, and using results to shape strategy and demonstrate impact. A track record of building consensus and driving outcomes in a fast-paced, highly collaborative environment. What We're Looking For Minimum Qualifications Bachelor’s degree in Computer Science, Computer Engineering, or equivalent technical experience. 8+ years of progressive experience in technical program management, engineering program management, security program management, or an equivalent technical leadership role. Demonstrated ability to translate security, privacy, with data privacy, identity access, and trust engineering requirements/objectives into technical strategy, architecture decisions, execution plans, and measurable outcomes. Demonstrated ability to resolve conflicting priorities and resource constraints across cross-functional teams without direct authority, establish organization-wide engineering processes, and deliver complex, multi-team roadmaps. Strong written and verbal communication skills, with the ability to present complex technical strategies to executive engineering leaders. Experience using AI-enabled tools to accelerate program strategy, technical problem-solving, analysis, and automation. Ability to work onsite three days per week in Bellevue, Seattle, San Francisco, or Mountain View. Preferred Qualifications Experience operating in hyperscale cloud environments such as AWS, Azure, or GCP, or in complex distributed data-processing environments. Prior hands-on experience as a software, systems, or security engineer before transitioning to Technical Program Management. Familiarity with unified data governance architectures, distributed-systems security, and or security controls supporting AI and machine-learning infrastructure. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. SF Bay Area Hourly Rate $222,500—$305,900 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Lead Continuous Monitoring team to build and operate security control infrastructure and define strategy for posture assessment and reporting. | 12+ years security engineering or compliance automation experience with 2+ years management and strong technical depth in Python, cloud security, and compliance frameworks. | RDQ227R1175 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. About Databricks Databricks is the data and AI company. More than 12,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. About the Team The Continuous Monitoring (ConMon) team at Databricks builds and operates the engineering infrastructure that keeps Databricks' security control posture visible, measurable, and defensible at all times. We build automation that continuously assesses whether security controls are actually working across cloud environments, SaaS platforms, identity systems, and enterprise applications — surfacing drift, coverage gaps, and control failures as they happen rather than at the next audit. Our work sits at the intersection of security engineering and GRC: we turn control requirements into code, evidence collection into automation, and security posture into intelligence that drives decisions. The ConMon team also maintains security tooling and scanning infrastructure to aid control evaluation. This includes scanning for secret leaks, asset vulnerabilities, and SAST. As Databricks' security program, cloud footprint, and regulatory obligations all scale, the Continuous Monitoring team is responsible for ensuring the company's control posture is always verifiable, always current, and never a surprise. The Role Databricks is looking for a Senior Manager to lead the Continuous Monitoring team. You will own the engineering function that measures whether Databricks' security controls are working — across cloud infrastructure, identity, SaaS, and enterprise systems — and turns that measurement into something the Security organization, and its auditors, can rely on. That includes demonstrating control posture against the frameworks the business carries (SOC 2, ISO 27001, FedRAMP, PCI DSS, and emerging AI governance requirements), but the underlying question is broader: are the controls Databricks depends on actually in place and operating everywhere they are supposed to be? This is an engineering management role. The team writes production Python, operates data pipelines against cloud and SaaS APIs, and integrates with GRC and security tooling. Success is measured in control coverage, the accuracy and timeliness of what the team reports, and how quickly gaps get to the people who can close them. The role requires enough technical depth to review that work credibly, and enough judgement to prioritize the controls where measurement actually reduces risk. As the leader of Continuous Monitoring, you'll be responsible for growing and developing the team; setting a clear vision, priority, and strategy; making the case for the headcount and tooling the program needs; and building durable partnerships across GRC (SAC, SAF, Governance, Risk Management, TPRM), IT, Legal, and Engineering — the organizations that own the controls your team monitors. The Impact You Will Have Team Building & People Leadership Hire strong Security Software Engineers who bring genuine engineering skill to compliance automation. Support engineers in their career development with clear, specific feedback; develop senior ICs into technical leaders and grow the next generation of security engineering managers. Set and hold a high bar for engineering quality: code review standards, reliability and observability expectations for automation pipelines, and documentation that remains useful across audit cycles and team changes. Build a team that combines GRC domain knowledge with software engineering discipline, and hire for both. Control Measurement Program Ownership Own the strategy and roadmap for Databricks' continuous monitoring platform — control state collection at cloud scale, continuous posture assessment, security and GRC tooling integration, and remediation tracking. Define what the program measures and why: prioritize the controls whose failure would matter most to Databricks' security posture, rather than defaulting to the set a given framework happens to enumerate. Ensure coverage keeps pace with the business — new cloud environments, new products and services, new certifications and regulatory obligations, and AI governance controls that current tooling does not yet assess. Reduce manual evidence collection systematically; set and track targets for automated control coverage, freshness, and audit burden on Engineering teams. Own the accuracy of the team's output, including false positive rates; findings should be reliable enough that control owners act on them without re-verification. Posture Visibility & Executive Intelligence Own the security posture dashboards, metrics, and reporting that give Security and GRC leadership an accurate, timely view of control health across the company. Define the metrics the program reports on — control coverage, drift, time-to-remediate, and where the organization is exposed — and build the reporting that leadership uses to make security investment and prioritization decisions. Present the team's findings to senior leadership: control gaps and drift, their risk implications, and the effort required to remediate them. Make the same measurement data serve both audiences: evidence an auditor will accept, and signal the company can act on. Cross-Functional Partnership & Execution Establish productive working relationships with GRC (SAC, SAF, Governance, Risk Management, TPRM), Enterprise Security, Product Security, Security Operations, IT, Legal, and Engineering leadership — the teams who own the controls, the evidence, and the remediation. Partner with Enterprise Security and Product Security so control measurement reflects how systems are actually built and configured, and feed coverage gaps back to the teams who own those controls. Partner with SAC and SAF to ensure monitoring output meets auditor and 3PAO evidence standards, and with Governance to keep control monitoring aligned to policy as standards evolve. Coordinate with Risk Management and Security Operations on metric definitions and reporting boundaries so the organization gets one coherent picture of control health rather than three overlapping ones. Coordinate execution across teams to unblock cross-cutting initiatives: telemetry gaps in Engineering-owned systems, GRC platform migrations, and multi-quarter automation programs. Make effective priority and resourcing decisions within the team; be accountable for defining and achieving the team's OKRs and KPIs. Technology Decisions Lead build-vs.-buy evaluations for CSPM, SSPM, GRC automation, and security posture tooling; assess platforms on integration capability, measurement fidelity, maintenance cost, and fit with existing pipelines, and make the recommendation to Security and GRC leadership. Keep the program's operating costs defensible — cloud spend, tooling, and the engineering time monitoring consumes — and be able to explain the tradeoff between monitoring coverage and what it costs to run at scale. Track what the program will need to measure next — changes in Databricks' architecture and threat exposure, new SOC 2 criteria, FedRAMP continuous monitoring changes, and AI governance frameworks (NIST AI RMF, ISO/IEC 42001, EU AI Act) — and translate them into roadmap decisions early enough to build for them. What We Look For 2+ years of prior management experience leading Engineering or Security engineering teams. Typically 12+ years of experience, or an advanced degree plus 8 years, preferably focused on security engineering, security posture monitoring, or compliance automation. Sufficient technical depth to review the work of the team: can read and critique Python automation, evaluate an integration architecture, and assess whether a monitoring approach will hold up in production. Solid understanding of security controls and where they fail in practice — identity and access, configuration management, logging coverage, vulnerability management, and data protection — enough to judge whether a given measurement is telling you anything useful. Solid cloud security knowledge across at least one major platform (AWS, Azure, GCP) — IAM, audit logging, CSPM concepts, and cloud-native security services. Working knowledge of compliance frameworks (SOC 2, ISO 27001, FedRAMP, or equivalent) at a level sufficient to assess whether a control monitoring design will satisfy an auditor. Previous experience building security posture monitoring or compliance automation at scale, with attention to accuracy, coverage, and cost tradeoffs (experience with Databricks is preferred). Focused on defining and driving efficiencies and improvements within the team; accountable for defining and achieving targets (e.g. OKRs, KPIs). Makes effective priority decisions on resourcing and alignment within the team. Strong communicator across technical, GRC, and executive audiences — can explain automation architecture to auditors and compliance requirements to engineers. Nice to Have Experience with cloud security posture management (CSPM/SSPM) platforms at an architecture level. Experience with FedRAMP continuous monitoring programs at a leadership level. Hands-on background with GRC automation platforms (Vanta, Drata, ServiceNow GRC, Archer, or equivalent) at an implementation or architecture level. Experience building automated monitoring for AI system controls and AI governance frameworks. Track record of building or scaling a security measurement or compliance engineering function from early-stage to mature operations. Background in security operations, detection engineering, or security architecture that informs which controls are worth measuring. Experience with front-end development. CISSP, CISM, CISA, or equivalent certifications. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range $228,600—$314,250 USD Zone 2 Pay Range $205,700—$282,800 USD Zone 3 Pay Range $194,200—$267,100 USD Zone 4 Pay Range $182,900—$251,450 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Lead Continuous Monitoring team to measure and automate security control effectiveness across cloud and enterprise systems, ensuring compliance and risk reduction through engineering management and cross-functional partnership. | 12+ years experience with 2+ years managing security or engineering teams, strong technical depth in security engineering and compliance automation, cloud security expertise, and ability to communicate across technical and executive audiences. | RDQ227R1175 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. About Databricks Databricks is the data and AI company. More than 12,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. About The Team The Continuous Monitoring (ConMon) team at Databricks builds and operates the engineering infrastructure that keeps Databricks' security control posture visible, measurable, and defensible at all times. We build automation that continuously assesses whether security controls are actually working across cloud environments, SaaS platforms, identity systems, and enterprise applications — surfacing drift, coverage gaps, and control failures as they happen rather than at the next audit. Our work sits at the intersection of security engineering and GRC: we turn control requirements into code, evidence collection into automation, and security posture into intelligence that drives decisions. The ConMon team also maintains security tooling and scanning infrastructure to aid control evaluation. This includes scanning for secret leaks, asset vulnerabilities, and SAST. As Databricks' security program, cloud footprint, and regulatory obligations all scale, the Continuous Monitoring team is responsible for ensuring the company's control posture is always verifiable, always current, and never a surprise. The Role Databricks is looking for a Senior Manager to lead the Continuous Monitoring team. You will own the engineering function that measures whether Databricks' security controls are working — across cloud infrastructure, identity, SaaS, and enterprise systems — and turns that measurement into something the Security organization, and its auditors, can rely on. That includes demonstrating control posture against the frameworks the business carries (SOC 2, ISO 27001, FedRAMP, PCI DSS, and emerging AI governance requirements), but the underlying question is broader: are the controls Databricks depends on actually in place and operating everywhere they are supposed to be? This is an engineering management role. The team writes production Python, operates data pipelines against cloud and SaaS APIs, and integrates with GRC and security tooling. Success is measured in control coverage, the accuracy and timeliness of what the team reports, and how quickly gaps get to the people who can close them. The role requires enough technical depth to review that work credibly, and enough judgement to prioritize the controls where measurement actually reduces risk. As the leader of Continuous Monitoring, you'll be responsible for growing and developing the team; setting a clear vision, priority, and strategy; making the case for the headcount and tooling the program needs; and building durable partnerships across GRC (SAC, SAF, Governance, Risk Management, TPRM), IT, Legal, and Engineering — the organizations that own the controls your team monitors. The Impact You Will Have Team Building & People Leadership • Hire strong Security Software Engineers who bring genuine engineering skill to compliance automation. • Support engineers in their career development with clear, specific feedback; develop senior ICs into technical leaders and grow the next generation of security engineering managers. • Set and hold a high bar for engineering quality: code review standards, reliability and observability expectations for automation pipelines, and documentation that remains useful across audit cycles and team changes. • Build a team that combines GRC domain knowledge with software engineering discipline, and hire for both. Control Measurement Program Ownership • Own the strategy and roadmap for Databricks' continuous monitoring platform — control state collection at cloud scale, continuous posture assessment, security and GRC tooling integration, and remediation tracking. • Define what the program measures and why: prioritize the controls whose failure would matter most to Databricks' security posture, rather than defaulting to the set a given framework happens to enumerate. • Ensure coverage keeps pace with the business — new cloud environments, new products and services, new certifications and regulatory obligations, and AI governance controls that current tooling does not yet assess. • Reduce manual evidence collection systematically; set and track targets for automated control coverage, freshness, and audit burden on Engineering teams. • Own the accuracy of the team's output, including false positive rates; findings should be reliable enough that control owners act on them without re-verification. Posture Visibility & Executive Intelligence • Own the security posture dashboards, metrics, and reporting that give Security and GRC leadership an accurate, timely view of control health across the company. • Define the metrics the program reports on — control coverage, drift, time-to-remediate, and where the organization is exposed — and build the reporting that leadership uses to make security investment and prioritization decisions. • Present the team's findings to senior leadership: control gaps and drift, their risk implications, and the effort required to remediate them. • Make the same measurement data serve both audiences: evidence an auditor will accept, and signal the company can act on. Cross-Functional Partnership & Execution • Establish productive working relationships with GRC (SAC, SAF, Governance, Risk Management, TPRM), Enterprise Security, Product Security, Security Operations, IT, Legal, and Engineering leadership — the teams who own the controls, the evidence, and the remediation. • Partner with Enterprise Security and Product Security so control measurement reflects how systems are actually built and configured, and feed coverage gaps back to the teams who own those controls. • Partner with SAC and SAF to ensure monitoring output meets auditor and 3PAO evidence standards, and with Governance to keep control monitoring aligned to policy as standards evolve. • Coordinate with Risk Management and Security Operations on metric definitions and reporting boundaries so the organization gets one coherent picture of control health rather than three overlapping ones. • Coordinate execution across teams to unblock cross-cutting initiatives: telemetry gaps in Engineering-owned systems, GRC platform migrations, and multi-quarter automation programs. • Make effective priority and resourcing decisions within the team; be accountable for defining and achieving the team's OKRs and KPIs. Technology Decisions • Lead build-vs.-buy evaluations for CSPM, SSPM, GRC automation, and security posture tooling; assess platforms on integration capability, measurement fidelity, maintenance cost, and fit with existing pipelines, and make the recommendation to Security and GRC leadership. • Keep the program's operating costs defensible — cloud spend, tooling, and the engineering time monitoring consumes — and be able to explain the tradeoff between monitoring coverage and what it costs to run at scale. • Track what the program will need to measure next — changes in Databricks' architecture and threat exposure, new SOC 2 criteria, FedRAMP continuous monitoring changes, and AI governance frameworks (NIST AI RMF, ISO/IEC 42001, EU AI Act) — and translate them into roadmap decisions early enough to build for them. What We Look For • 2+ years of prior management experience leading Engineering or Security engineering teams. • Typically 12+ years of experience, or an advanced degree plus 8 years, preferably focused on security engineering, security posture monitoring, or compliance automation. • Sufficient technical depth to review the work of the team: can read and critique Python automation, evaluate an integration architecture, and assess whether a monitoring approach will hold up in production. • Solid understanding of security controls and where they fail in practice — identity and access, configuration management, logging coverage, vulnerability management, and data protection — enough to judge whether a given measurement is telling you anything useful. • Solid cloud security knowledge across at least one major platform (AWS, Azure, GCP) — IAM, audit logging, CSPM concepts, and cloud-native security services. • Working knowledge of compliance frameworks (SOC 2, ISO 27001, FedRAMP, or equivalent) at a level sufficient to assess whether a control monitoring design will satisfy an auditor. • Previous experience building security posture monitoring or compliance automation at scale, with attention to accuracy, coverage, and cost tradeoffs (experience with Databricks is preferred). • Focused on defining and driving efficiencies and improvements within the team; accountable for defining and achieving targets (e.g. OKRs, KPIs). • Makes effective priority decisions on resourcing and alignment within the team. • Strong communicator across technical, GRC, and executive audiences — can explain automation architecture to auditors and compliance requirements to engineers. Nice to Have • Experience with cloud security posture management (CSPM/SSPM) platforms at an architecture level. • Experience with FedRAMP continuous monitoring programs at a leadership level. • Hands-on background with GRC automation platforms (Vanta, Drata, ServiceNow GRC, Archer, or equivalent) at an implementation or architecture level. • Experience building automated monitoring for AI system controls and AI governance frameworks. • Track record of building or scaling a security measurement or compliance engineering function from early-stage to mature operations. • Background in security operations, detection engineering, or security architecture that informs which controls are worth measuring. • Experience with front-end development. • CISSP, CISM, CISA, or equivalent certifications. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range $228,600—$314,250 USD Zone 2 Pay Range $205,700—$282,800 USD Zone 3 Pay Range $194,200—$267,100 USD Zone 4 Pay Range $182,900—$251,450 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Lead technical account strategy and execution for Databricks platform adoption in strategic customers. | 5+ years in technical project delivery in Data and AI, programming in Python/SQL/Scala, customer-facing technical roles, and technical program management. | CSQ427R106 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability for our most complex customers who need guidance to accelerate usage of Databricks workloads they have already selected, helping them maximize the value they get from our platform and their return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with the expectation that you will become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate effectively with an organization at all levels. You will report directly to a DSA Manager within the Field Engineering organization. The Impact You Will Have • Engage with Solutions Architects to understand the full use case demand plan for prioritized customers • Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts • Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live, and healthy consumption of the workloads where the customer has made the decision to consume Databricks • Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations • Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise • Create, own, and execute a point of view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals • Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs • Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the following work streams: • Main use cases moving from ‘win’ to production • Enablement/user growth plan • Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) • Organic needs for current investment (e.g. cloud cost control, tuning & optimization) • Executive and operational governance • Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What We Look For • 5+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI, and where you can contribute to technical debate and design choices with customers • Programming experience in Python, SQL, or Scala • Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role • Understanding of solution architecture related to distributed data systems • Understanding of how to attribute business value and outcomes to specific project deliverables • Technical program, or project management, including account, stakeholder, and resource management accountability • Experience in resolving complex and important escalations with senior customer executives • Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis, and managing the delivery of complex programs/projects • Track record of overachievement against quota, goals, or similar objective targets • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience • Ability to travel up to 30% when needed Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $180,000—$247,500 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Lead post-sale technical strategy and execution for Databricks platform adoption with startup and emerging enterprise customers. | 5+ years in technical project delivery in Data and AI, programming in Python/SQL/Scala, customer-facing technical roles, and solution architecture experience. | At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform with Startup and Emerging Enterprise customers. You will also help ensure customer success by helping our most complex customers maximize the value they get out of our platform and their return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases by leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. It is technical in the sense that you will serve as the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels within an organization. You will report directly to a DSA Manager within the Field Engineering organization. The Impact You Will Have • Engage with Solutions Architects to understand the full use case demand plan for prioritized customers • Lead the post-technical-win account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts • Be the accountable technical leader for specific use cases and customers across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, go-live, and healthy consumption of the workloads the customer has chosen to run on Databricks • Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, often spanning multiple use cases within the largest and most complex organizations • Leverage Shared Services, User Education, Onboarding/Technical Services, and Support resources, and escalate to subject matter experts when work falls beyond your scope or expertise • Create, own, and execute a point of view on how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals • Partner with Databricks Product and Engineering teams on new product innovations, private previews, and upgrades • Develop an execution plan spanning all customer-facing technical roles and teams across the following work streams: • Main use cases moving from ‘win’ to production • Enablement / user growth plan • Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) • Organic needs for current investment (e.g. cloud cost control, tuning & optimization) • Executive and operational governance • Provide internal and external updates to your Technical GM — KPI reporting on usage and customer health, covering investment status, key risks, product adoption, and use case progression What We Look For • 5+ years of experience accountable for technical project / program delivery in Data and AI, with the ability to contribute to technical debate and design choices alongside customers • Programming experience in Python, SQL or Scala • Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role • Understanding of solution architecture for distributed data systems • Understanding of how to attribute business value and outcomes to specific project deliverable • Technical program or project management, including accountability for accounts, stakeholders, and resources • Experience resolving complex, high-stakes escalations with senior customer executives • Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis, and managing delivery of complex programs/projects • Track record of overachievement against quota, goals, or similar objective targets • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience • Can travel up to 30% when needed Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $180,000—$247,500 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Lead post-sale technical strategy and execution for Databricks use cases with startup and emerging enterprise customers. | 5+ years in technical project delivery in Data and AI, programming in Python/SQL/Scala, customer-facing technical roles, and strong program management skills. | At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform with Startup and Emerging Enterprise customers. You will also help ensure customer success by helping our most complex customers maximize the value they get out of our platform and their return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases by leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. It is technical in the sense that you will serve as the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels within an organization. You will report directly to a DSA Manager within the Field Engineering organization. The Impact You Will Have • Engage with Solutions Architects to understand the full use case demand plan for prioritized customers • Lead the post-technical-win account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts • Be the accountable technical leader for specific use cases and customers across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, go-live, and healthy consumption of the workloads the customer has chosen to run on Databricks • Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, often spanning multiple use cases within the largest and most complex organizations • Leverage Shared Services, User Education, Onboarding/Technical Services, and Support resources, and escalate to subject matter experts when work falls beyond your scope or expertise • Create, own, and execute a point of view on how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals • Partner with Databricks Product and Engineering teams on new product innovations, private previews, and upgrades • Develop an execution plan spanning all customer-facing technical roles and teams across the following work streams: • Main use cases moving from ‘win’ to production • Enablement / user growth plan • Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) • Organic needs for current investment (e.g. cloud cost control, tuning & optimization) • Executive and operational governance • Provide internal and external updates to your Technical GM — KPI reporting on usage and customer health, covering investment status, key risks, product adoption, and use case progression What We Look For • 5+ years of experience accountable for technical project / program delivery in Data and AI, with the ability to contribute to technical debate and design choices alongside customers • Programming experience in Python, SQL or Scala • Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role • Understanding of solution architecture for distributed data systems • Understanding of how to attribute business value and outcomes to specific project deliverable • Technical program or project management, including accountability for accounts, stakeholders, and resources • Experience resolving complex, high-stakes escalations with senior customer executives • Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis, and managing delivery of complex programs/projects • Track record of overachievement against quota, goals, or similar objective targets • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience • Can travel up to 30% when needed Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $180,000—$247,500 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.