phData

Manage and optimize Tableau Server and cloud data platform solutions, ensuring security, performance, and scalability, while providing consulting and automation. | Over 5 years of Tableau Server/Cloud administration, extensive cloud platform experience (AWS, Azure), strong SQL skills, automation expertise, and project management skills. | Join phData, a dynamic and innovative leader in the modern data stack. We partner with major cloud data platforms like Snowflake, AWS, Azure, GCP, Fivetran, Pinecone, Glean and dbt to deliver cutting-edge services and solutions. We're committed to helping global enterprises overcome their toughest data challenges. phData is a remote-first global company with employees based in the United States, Latin America and India. We celebrate the culture of each of our team members and foster a community of technological curiosity, ownership and trust. Even though we're growing extremely fast, we maintain a casual, exciting work environment. We hire top performers and allow you the autonomy to deliver results. 6x Snowflake Partner of the Year (2020, 2021, 2022, 2023, 2024, 2025) Fivetran, dbt, Atlation, Matillion Partner of the Year #1 Partner in Snowflake Advanced Certifications 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, etc) Recognized as an award-winning workplace in US, India and LATAM Join phData’s Elastic Platform Operations (EPO) team as a Solutions Architect, providing industry-leading managed services for cloud-native data platforms like Snowflake, AWS, and Azure. About You: We are seeking qualified Solutions Architect, with Tableau Server Administration experience to help deliver our Elastic Operations service from our Managed Services team as we continue our rapid growth. This expansion comes at the right time with increasing customer demand for data and platform solutions. In addition to the phenomenal growth and learning opportunities, we offer a competitive compensation plan, including base salary, training, and certifications. As a Solutions Architect on our Managed Services Team, you will be responsible for technical delivery for technology projects related to Tableau administration and services hosted in the cloud. Key Responsibilities: Administer and manage Tableau Server and Tableau Cloud (Tableau Online), including security, governance, user access, schedules, and data refreshes. Troubleshoot and resolve refresh failures, broken datasets, access requests, and slow performance across Tableau reports/dashboards; implement durable fixes and prevention. Design, architect, and implement large‑scale data platform solutions on Snowflake, AWS, and Azure, including data lakes, data warehouses, and integrations. Create and publish Tableau reports, dashboards, and workbooks; diagnose and fix visual and data issues; recommend optimizations for datasets, extracts, and visuals. Provide configuration, infrastructure, and performance tuning recommendations for Tableau Server (scalability, HA, caching, extracts vs live, backgrounder optimization). Lead platform modernization and data migrations to cloud platforms (e.g., Snowflake, Redshift), ensuring robust integration with upstream and downstream systems. Identify and implement automation to improve platform reliability and productivity (provisioning, deployments, permissions, monitoring, cost controls). Establish platform security and Data Governance best practices (RBAC, SSO/SAML, encryption, auditing, compliance controls) across Tableau and cloud data platforms. Engineer resilient processes to adapt to changes in upstream sources; plan and communicate breaking changes to minimize downstream impact and ensure scalability. Deliver project‑based consulting to deploy, manage, govern, and optimize Tableau and cloud data platforms; act as a trusted advisor to meet business goals. Run client communications: weekly status reports, proactive working sessions, feedback loops, and expectation management. Manage operations: report subscriptions, alerts, and embedding Tableau dashboards into other applications. Respond to pager incidents, perform deep problem analysis across customer workflows, and resolve complex production issues. Document best practices for Tableau administration and cloud data platforms; build onboarding and end‑user training materials. Partner with sales, engineering, and support for seamless delivery; mentor junior engineers and promote a learning culture. Required Skills & Experience: 10+ years architecting, designing, implementing, and operating cloud‑native data platforms and solutions (Solutions Architecture). 5+ years administering, configuring, and developing on Tableau Server and/or Tableau Cloud. Exceptional client‑facing communication and project management; able to present to executives and produce clear solution documentation. Cloud expertise across AWS and Azure services relevant to data platforms (e.g., S3, ADLS, Kinesis, Data Factory), and strong hands‑on with Snowflake. Enterprise data platform operations: performance tuning, capacity planning, cost optimization, observability, and incident response. Ability to provide configuration, infrastructure, and performance tuning guidance for Tableau Server (including backgrounders, VizQL, caching, extracts, and scaling). Administrative automation using PowerShell, Bash, command‑line tooling, or the Tableau REST API; familiarity with TSC/TSM automation. Expertise with Tableau Server maintenance and upgrades via Tableau Services Manager (TSM). Strong SQL mastery (advanced Microsoft SQL—writing, debugging, and optimizing). DevOps/IaC proficiency: Terraform or CloudFormation; CI/CD with Bitbucket or GitHub; versioning, testing, promotion workflows. Data integration experience with tools such as AWS DMS, Azure Data Factory, Matillion, Fivetran, or Spark. Strong problem solving with demonstrated curiosity and continuous learning mindset. Nice‑to‑Have Tooling & Patterns (Consolidated): Orchestration and ELT frameworks (e.g., dbt, Spark), streaming/messaging (e.g., Kafka), cost/usage monitoring, secrets management, policy‑as‑code. Observability for both Tableau and data platforms (logs, traces, metrics, query profiling, workload management). Preferred Qualifications: Certifications: Tableau Server Certified Associate or Tableau Certified Architect; Snowflake SnowPro Core. Experience with enterprise data governance and compliance frameworks for Tableau and cloud data platforms. Experience deploying Tableau Server on both Windows and Linux. Automation pipelines for Tableau and platform operations (preferred Python). CI/CD database deployment tooling (e.g., Flyway, Liquibase). Exposure to broader analytics tools such as Alteryx and KNIME. Education: A Bachelor’s degree in Computer Science, Engineering, or a related field is highly preferred Advanced degrees or equivalent certifications are preferred. Why phData? We offer: Remote-First Work Environment Casual, award-winning small-business work environment Collaborative culture that prizes autonomy, creativity, and transparency Competitive comp, excellent benefits, 4 weeks PTO plan plus 10 Holidays (and other cool perks) Accelerated learning and professional development through advanced training and certifications phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.

Manage and grow strategic partner relationships, develop joint go-to-market campaigns, enable internal teams with certifications and training, and track partnership KPIs. | 3+ years partner management or channel sales experience, familiarity with modern data stack tools, strong relationship building, Salesforce and PRM proficiency, excellent English communication, and a self-starter mindset. | Join phData, a dynamic and innovative leader in the modern data stack. We partner with major cloud data platforms like Snowflake, AWS, Azure, GCP, Fivetran, Pinecone, Glean and dbt to deliver cutting-edge services and solutions. We're committed to helping global enterprises overcome their toughest data challenges. phData is a remote-first global company with employees based in the United States, Latin America and India. We celebrate the culture of each of our team members and foster a community of technological curiosity, ownership and trust. Even though we're growing extremely fast, we maintain a casual, exciting work environment. We hire top performers and allow you the autonomy to deliver results. 6x Snowflake Partner of the Year (2020, 2021, 2022, 2023, 2024, 2025) Fivetran, dbt, Atlation, Matillion Partner of the Year #1 Partner in Snowflake Advanced Certifications 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, etc) Recognized as an award-winning workplace in US, India and LATAM We are seeking an Ecosystem Partner Manager to own and grow our strategic relationships across the modern data ecosystem, including partners such as Sigma, dbt, Fivetran, Coalesce, Omni, and others. This individual will be responsible for developing go-to-market strategies with each partner, generating top-of-funnel opportunities, and ensuring tight alignment between our partner ecosystem, sales, and delivery teams. This role is highly cross-functional: part partner manager, part business developer, and part internal enablement leader. The ideal candidate is passionate about partner ecosystems, understands the modern data stack, and thrives in building scalable programs that drive customer adoption and success. Key Responsibilities Partner Relationship Management Build and manage relationships with partner sales, marketing, and technical teams across our ISV ecosystem. Act as the primary liaison between our organization and ecosystem partners. Coordinate joint account mapping, pipeline reviews, and field alignment sessions. Go-to-Market & Demand Generation Develop and execute joint GTM campaigns, co-marketing initiatives, and events with ecosystem partners. Drive partner-sourced and partner-influenced pipeline (top of funnel) through joint sales plays. Collaborate with marketing to deliver co-branded content, case studies, and industry-specific campaigns. Internal Enablement & Delivery Readiness Ensure delivery teams maintain up-to-date certifications, trainings, and skills across ecosystem technologies. Partner with internal L&D to track certification attainment and knowledge-sharing initiatives. Bring back insights from partners (product updates, roadmap, best practices) to inform delivery excellence. Strategic Alignment & Reporting Track KPIs such as sourced pipeline, certifications achieved, and co-sell wins. Support quarterly business reviews and ecosystem reporting for leadership. Identify opportunities to deepen partnerships and expand joint solution offerings. Qualifications Experience: 3+ years in partner management, channel sales, or alliances, ideally in the modern data stack ecosystem. Skills: Strong relationship builder, able to work across partner sales, marketing, and product teams. Technical/Tools: Familiarity with Sigma, dbt, Fivetran, Coalesce, Omni, or similar data/analytics technologies. Proficiency with Salesforce and Partner Relationship Management (PRM) tools. Language: Excellent English communication (verbal & written) Mindset: Self-starter, metrics-driven, able to balance GTM execution with delivery enablement. phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.

Lead change management strategies and adoption programs for data, analytics, and AI transformations with client stakeholder collaboration. | 4+ years consulting in change management for AI/data transformations, proficiency in training design, cloud platform understanding, and professional change management certification. | Join phData, a dynamic and innovative leader in the modern data stack. We partner with major cloud data platforms like Snowflake, AWS, Azure, GCP, Fivetran, Pinecone, Glean and dbt to deliver cutting-edge services and solutions.We're committed to helping global enterprises overcome their toughest data challenges. phData is a remote-first global company with employees based in the United States, Latin America and India. We celebrate the culture of each of our team members and foster a community of technological curiosity, ownership and trust. Even though we're growing extremely fast, we maintain a casual, exciting work environment. We hire top performers and allow you the autonomy to deliver results. • 6x Snowflake Partner of the Year (2020, 2021, 2022, 2023, 2024, 2025) • Fivetran, dbt, Atlation, Matillion Partner of the Year • #1 Partner in Snowflake Advanced Certifications • 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, etc) • Recognized as an award-winning workplace in US, India and LATAM A Senior Change Management Consultant in the Advisory Practice will partner with clients to drive successful adoption of data-driven and AI-enabled solutions by leading the people components of transformation. This role will develop and execute change management strategies that align stakeholders, build organizational readiness, and accelerate the cultural shifts required to fully realize the value of data, analytics, and AI initiatives. The Senior Consultant will work closely with clients to design communication, training, and adoption programs, while effectively managing organization resistance, and ensuring sustainable change. Required Experience: • 4+ years as a hands-on Change Management Consultant who has led Change Management workstreams and efforts for transformation programs including AI and Data transformations. • 4+ years previous consulting experience working with external clients, with the ability to multitask, prioritize tasks, frequently change focus, and work across a variety of projects. • Organizational Change Management experience to include: • Developing Change Management Strategy & Implementation Plans for a structured approach to managing complex change initiatives. • Analyzing client change management capabilities, stakeholder needs, change impacts, and business readiness to maximize employee adoption and usage while mitigating people-related risks. • Proficiency with designing and facilitating appropriate training and enablement solutions. • Identifying and translating technical impacts into specific change management recommendations and tactics. • Developing change solutions for digital, data, analytics, and AI transformations, including data platform development and migrations, self-service model rollouts, and data governance implementations. • Multiple examples of having partnered with organizations through the change cycle from awareness to adoption. • Defining metrics for change success measurement, and tracking against them. • Good technical understanding of cloud infrastructure deployment, data platform builds and migrations, designing data governance programs, and enabling reporting and analytics for an enterprise, the impacts of change across any of these, and the What's in it for Me (WIIFM) for the respective stakeholders. • Experience managing change for transformations involving Snowflake and/or AWS preferred. • Understands the evolving AI capabilities in the industry, including their applications and how to leverage them effectively to help clients increase revenue, improve customer experience, or introduce new products to the market. • Proven delivery track record of collaborating with client stakeholders, technology partners, and cross-functional sales and delivery team members across distributed global teams, ensuring seamless, successful project delivery outcomes. • Exhibits a strong sense of ownership in resolving challenges, generates high-quality deliverables, and is committed to ensuring exceptional outcomes for all aspects of project execution. • Strong client-facing written and verbal communication skills and experience; ability to deliver high-quality work products and presentations with compelling storylines, tailored to the target audience, from technical stakeholders through to Program/Project Leadership teams. • Knowledge and usage of industry-wide change frameworks, principles, tools, best practices. • Professional Change Management certifications e.g. Prosci ADKAR, ACMP/CCMP. • 4-year Bachelor's degree phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.

Design and implement data solutions and infrastructure for machine learning model deployment, collaborate with data scientists, and ensure scalable, secure, and maintainable production environments. | 6+ years experience in ML, software or data engineering, proficiency in Python/Java/Scala, production ML model deployment experience, strong SQL skills, familiarity with big data ecosystems like Spark and Snowflake, cloud and network architecture knowledge, and software development lifecycle experience. | Join phData, a dynamic and innovative leader in the modern data stack. We partner with major cloud data platforms like Snowflake, AWS, Azure, GCP, Fivetran, Pinecone, Glean and dbt to deliver cutting-edge services and solutions. We're committed to helping global enterprises overcome their toughest data challenges. phData is a remote-first global company with employees based in the United States, Latin America and India. We celebrate the culture of each of our team members and foster a community of technological curiosity, ownership and trust. Even though we're growing extremely fast, we maintain a casual, exciting work environment. We hire top performers and allow you the autonomy to deliver results. 6x Snowflake Partner of the Year (2020, 2021, 2022, 2023, 2024, 2025) Fivetran, dbt, Atlation, Matillion Partner of the Year #1 Partner in Snowflake Advanced Certifications 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, etc) Recognized as an award-winning workplace in US, India and LATAM Machine Learning Solutions Architect - US Machine Learning Engineers are the Swiss army knives of machine learning. They’re ready for anything, and they bring all the tools to ensure that data science models see the light of day. They own the infrastructure and deployment plan—from making sure data science models can actually be built using customer data to deploying them into a production environment, and everything in between. They provide thought leadership by recommending the right technologies and solutions for a given use case, from the application layer to infrastructure. Machine Learning Engineers have the team leadership and coding skills (e.g. Python, Java, and Scala) to get their solutions into production — and to help ensure performance, security, scalability, and robust data integration. As a Solutions Architect on our Machine Learning Engineering team, you are responsible for: Designing and implementing data solutions best suited to deliver on our customer needs — from model inference, retraining, monitoring, and beyond — across an evolving technical stack. Providing thought leadership by recommending the technologies and solution design for a given use case, from the application layer to infrastructure; and they have the team leadership and coding skills (e.g. Python, Java, and Scala) to build and operate in production; and to help ensure performance, security, scalability, and robust data integration. What you’ll do in this role: Design and create environments for data scientists to build models and manipulate data Work within customer systems to extract data and place it within an analytical environment Learn and understand customer technology environments and systems Define the deployment approach and infrastructure for models and be responsible for ensuring that businesses can use the models we develop Demonstrate the business value of data by working with data scientists to manipulate and transform data into actionable insights Reveal the true value of data by working with data scientists to manipulate and transform data into appropriate formats in order to deploy actionable machine learning models Partner with data scientists to ensure solution deployability—at scale, in harmony with existing business systems and pipelines, and such that the solution can be maintained throughout its life cycle Create operational testing strategies, validate and test the model in QA, and implementation, testing, and deployment Ensure the quality of the delivered product This job might be for you if you bring... At least 6 years experience as a Machine Learning Engineer, Software Engineer, or Data Engineer 4-year Bachelor's degree in Computer Science or a related field Experience deploying machine learning models in a production setting Expertise in Python, Scala, Java, or another modern programming language The ability to build and operate robust data pipelines using a variety of data sources, programming languages, and toolsets Strong working knowledge of SQL and the ability to write, debug, and optimize distributed SQL queries Hands-on experience in one or more big data ecosystem products/languages such as Spark, Snowflake, Databricks, etc. Familiarity with multiple data sources (e.g. JMS, Kafka, RDBMS, DWH, MySQL, Oracle, SAP) Systems-level knowledge in network/cloud architecture, operating systems (e.g., Linux), and storage systems (e.g., AWS, Databricks, Cloudera) Production experience in core data technologies (e.g. Spark, HDFS, Snowflake, Databricks, Redshift, & Amazon EMR) Development of APIs and web server applications (e.g. Flask, Django, Spring) Complete software development lifecycle experience, including design, documentation, implementation, testing, and deployment Excellent communication and presentation skills; previous experience working with internal or external customers You might also have... A Master’s or other advanced degree in data science or a related field Hands-on experience with one or more ecosystem technologies (e.g., Spark, Databricks, Snowflake, AWS/Azure/GCP) Relevant side projects (e.g. contributions to an open source technology stack) Experience working with Data-Science and Machine-Learning software and libraries such as h2o, TensorFlow, Keras, scikit-learn, etc. Experience with Docker, Kubernetes, or some other containerization technology AWS Sagemaker (or Azure ML) and MLflow experience Experience building enterprise ML models Why phData? We offer: Remote-First Work Environment Casual, award-winning small-business work environment Collaborative culture that prizes autonomy, creativity, and transparency Competitive comp, excellent benefits, 4 weeks PTO plus 10 Holidays (and other cool perks) Accelerated learning and professional development through advanced training and certifications phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.

Design, build, and deploy machine learning model infrastructure and data pipelines, collaborating with data scientists to ensure scalable and maintainable solutions. | 6+ years experience in ML engineering or related roles, proficiency in Python/Java/Scala, experience deploying ML models in production, strong SQL and big data ecosystem knowledge, and software development lifecycle expertise. | Join phData, a dynamic and innovative leader in the modern data stack. We partner with major cloud data platforms like Snowflake, AWS, Azure, GCP, Fivetran, Pinecone, Glean and dbt to deliver cutting-edge services and solutions. We're committed to helping global enterprises overcome their toughest data challenges. phData is a remote-first global company with employees based in the United States, Latin America and India. We celebrate the culture of each of our team members and foster a community of technological curiosity, ownership and trust. Even though we're growing extremely fast, we maintain a casual, exciting work environment. We hire top performers and allow you the autonomy to deliver results. • 6x Snowflake Partner of the Year (2020, 2021, 2022, 2023, 2024, 2025) • Fivetran, dbt, Atlation, Matillion Partner of the Year • #1 Partner in Snowflake Advanced Certifications • 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, etc) • Recognized as an award-winning workplace in US, India and LATAM Machine Learning Engineers are the Swiss army knives of machine learning. They’re ready for anything, and they bring all the tools to ensure that data science models see the light of day. They own the infrastructure and deployment plan—from making sure data science models can actually be built using customer data to deploying them into a production environment, and everything in between. They provide thought leadership by recommending the right technologies and solutions for a given use case, from the application layer to infrastructure. Machine Learning Engineers have the team leadership and coding skills (e.g. Python, Java, and Scala) to get their solutions into production — and to help ensure performance, security, scalability, and robust data integration. As a Solutions Architect on our Machine Learning Engineering team, you are responsible for: • Designing and implementing data solutions best suited to deliver on our customer needs — from model inference, retraining, monitoring, and beyond — across an evolving technical stack. • Providing thought leadership by recommending the technologies and solution design for a given use case, from the application layer to infrastructure; and they have the team leadership and coding skills (e.g. Python, Java, and Scala) to build and operate in production; and to help ensure performance, security, scalability, and robust data integration. What you’ll do in this role: • Design and create environments for data scientists to build models and manipulate data • Work within customer systems to extract data and place it within an analytical environment • Learn and understand customer technology environments and systems • Define the deployment approach and infrastructure for models and be responsible for ensuring that businesses can use the models we develop • Demonstrate the business value of data by working with data scientists to manipulate and transform data into actionable insights • Reveal the true value of data by working with data scientists to manipulate and transform data into appropriate formats in order to deploy actionable machine learning models • Partner with data scientists to ensure solution deployability—at scale, in harmony with existing business systems and pipelines, and such that the solution can be maintained throughout its life cycle • Create operational testing strategies, validate and test the model in QA, and implementation, testing, and deployment • Ensure the quality of the delivered product This job might be for you if you bring... • At least 6 years experience as a Machine Learning Engineer, Software Engineer, or Data Engineer • 4-year Bachelor's degree in Computer Science or a related field • Experience deploying machine learning models in a production setting • Expertise in Python, Scala, Java, or another modern programming language • The ability to build and operate robust data pipelines using a variety of data sources, programming languages, and toolsets • Strong working knowledge of SQL and the ability to write, debug, and optimize distributed SQL queries • Hands-on experience in one or more big data ecosystem products/languages such as Spark, Snowflake, Databricks, etc. • Familiarity with multiple data sources (e.g. JMS, Kafka, RDBMS, DWH, MySQL, Oracle, SAP) • Systems-level knowledge in network/cloud architecture, operating systems (e.g., Linux), and storage systems (e.g., AWS, Databricks, Cloudera) • Production experience in core data technologies (e.g. Spark, HDFS, Snowflake, Databricks, Redshift, & Amazon EMR) • Development of APIs and web server applications (e.g. Flask, Django, Spring) • Complete software development lifecycle experience, including design, documentation, implementation, testing, and deployment • Excellent communication and presentation skills; previous experience working with internal or external customers You might also have... • A Master’s or other advanced degree in data science or a related field • Hands-on experience with one or more ecosystem technologies (e.g., Spark, Databricks, Snowflake, AWS/Azure/GCP) • Relevant side projects (e.g. contributions to an open source technology stack) • Experience working with Data-Science and Machine-Learning software and libraries such as h2o, TensorFlow, Keras, scikit-learn, etc. • Experience with Docker, Kubernetes, or some other containerization technology • AWS Sagemaker (or Azure ML) and MLflow experience • Experience building enterprise ML models Why phData? We offer: • Remote-First Work Environment • Casual, award-winning small-business work environment • Collaborative culture that prizes autonomy, creativity, and transparency • Competitive comp, excellent benefits, generous weeks PTO plus 10 Holidays (and other cool perks) • Accelerated learning and professional development through advanced training and certifications phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.