Lead Data Platform Engineer

Data Platform Engineering is a new organization with a clear mandate: make the handoff from product data to analytics insight reliable, governed, and invisible. As Lead Data Platform Engineer, you shape that from the ground up — designing the architecture, setting the standards, and shipping the pipelines that power reporting, AI use cases, and data-driven product features. This is a hands-on technical leadership role. You’ll set the direction and still write code.

• 8+ years in data or software engineering, including 5+ years focused on data platforms or big data
• Demonstrated record of technical leadership across teams
• Extensive production experience designing and scaling data systems that others depend on
• Experience in healthcare, benefits, insurance, or another regulated industry a plus

• Deep, hands-on expertise in large-scale data transformation including performance tuning and cost optimization
• Expert-level knowledge of open table formats: Apache Iceberg or Delta Lake
• Strong experience architecting and operating data pipelines and data lakes
• Experience designing and rolling out data governance frameworks covering quality, PII/PHI management, access control, and freshness monitoring
• Experience designing orchestration strategy at platform level
• Advanced SQL and strong Python proficiency
• Apache Spark including performance tuning at scale preferred
• Apache Kafka and event-driven architecture experience preferred
• Familiarity with distributed systems and microservices as data producers preferred
• Exposure to ML operationalization or AI platforms preferred

Our Commitment: Personify Health is an equal opportunity employer committed to diversity, equity, inclusion, and belonging. We cultivate a work environment where differences are celebrated, and employees of all backgrounds are empowered to thrive—because diversity is core to who we are and critical to our work in health and wellbeing.

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