via LinkedIn
$165K - 190K a year
Design, implement, and manage large-scale cloud-native data platforms on Snowflake, AWS, and Azure, including data migrations, security, and client engagement.
Over 10 years of experience in cloud data platform architecture, proficiency in SQL, infrastructure-as-code, CI/CD, and data integration tools, with client-facing consulting experience.
Use our easy apply form to send your application to Katrina McFillin, the Jobot Pro hosting this job. Compensation Based on Experience. Solutions Architect - Managed Services (Cloud Data Platforms l Snowflake, AWS, Azure) $165000 - $190000 per year | Philadelphia, PA | Remote | Permanent Remote first / cloud-native data platforms A bit about us: Founded over a decade ago, we are a leading AI and data services partner helping global brands design, build, and run modern data and AI platforms on Snowflake and major cloud providers. We specialize in data engineering, analytics, and managed services, combining deep technical expertise with a global delivery model to maximize business value from data. Why join us? Competitive base compensation + bonus Remote first Comprehensive Benefits 4 weeks PTO + 10 holidays Accelerated learning and professional development with advanced training and certifications (e.g., Snowflake, cloud). High-Impact Work: Join a specialized Elastic Operations team running mission-critical cloud data platforms for leading enterprises. Autonomy & Collaboration: Work in a culture that prizes autonomy, creativity, transparency, and cross-functional collaboration. Job Details Key Responsibilities and Duties: Lead the design, architecture, and implementation of large-scale cloud-native data platform solutions on Snowflake, AWS, and Azure. Drive data migrations, integrations, and performance tuning across data warehouses, data lakes, and distributed systems to optimize reliability and cost. Own platform security, data governance, and process engineering to ensure robust, scalable, and continuously improving data environments. Manage multiple client engagements as a trusted advisor, collaborating with cross-functional teams and mentoring junior engineers to maximize platform ROI and customer success. Qualifications: Bachelor’s degree in Computer Science, Engineering, or related field (advanced degrees or relevant certifications are a plus). At least 10 years of hands-on experience architecting, designing, implementing, and managing cloud-native data platforms (Snowflake, Redshift, Azure Data Warehouse) on AWS and/or Azure. Proven client-facing consulting experience, including presenting to executive stakeholders and creating detailed solution documentation. Strong technical depth in SQL, infrastructure-as-code (Terraform or CloudFormation), CI/CD (e.g., GitHub, Bitbucket), and modern data integration tools (e.g., AWS DMS, Azure Data Factory, Matillion, Fivetran, Spark) Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy
This job posting was last updated on 12/18/2025