Lead Data Platform Engineer

This is a hands-on technical leadership role.

About Personify Health

Who We Are Because health is personal.

That's why Personify Health created the first and only personalized health platform—bringing health plan administration, holistic wellbeing solutions, and comprehensive care navigation together in one place.

We serve employers, health plans, and health systems with data-driven solutions that reduce costs while actually improving health outcomes.

Together, our team is on a mission to empower people to lead healthier lives.

Learn even more about the work that drives us at personifyhealth.com.

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.

View all legitimate openings at personifyhealth.com/careers.

Responsibilities

• Ready To Architect and Build the Data Platform That Connects Every Product, Pipeline, and AI Initiative at Personify Health?
• You’ll set the direction and still write code.
• You'll Actually Do Lead platform architecture and delivery: Own the end-to-end data platform — ingestion, lake layout, transformation layers, and serving — continuously improving reliability, performance, and scale.
• Integrate product systems, member and client data, claims and eligibility feeds, and third-party sources into a scalable, well-governed data platform.
• Design and maintain the Iceberg or Delta Lake layer — including table design, partitioning, compaction, schema evolution, and long-term maintenance.
• Build the platform’s governance framework covering data quality, PII/PHI classification and controls, freshness SLAs, and lineage — and hold the broader team to it.
• Set standards for how product delivery teams produce data and influence their services to make downstream consumption cleaner and more reliable.
• Partner with analysts and data scientists to operationalize advanced analytics, predictive models, and AI use cases on top of the platform you build.
• Mentor engineers, lead architecture reviews, and take point on technical response to major incidents.

Requirements

• Establish CI/CD, automated testing, monitoring, alerting, and orchestration standards that the team adopts and operates against.
• What You Bring to Our Team Education & Experience 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

Benefits

• Personify Health will never ask for payment or sensitive personal information like social security numbers during hiring.

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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