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Personify Health

delivers personalized health and wellbeing solutions

Lead Data Platform Engineer

Data EngineeringUpdated on Nov 5
Full-timeNo salary listedIn-person

About the Job

Requirements

  • At least 8 years of experience in data or software engineering, including at least 5 years focused on data platforms or big data.
  • A demonstrated record of technical leadership across teams.
  • Extensive production experience designing and scaling data systems that others depend on.
  • Hands-on expertise in large-scale data transformation, including performance tuning and cost optimization.
  • Expert-level knowledge of Apache Iceberg or Delta Lake open table formats.
  • Experience architecting and operating data pipelines and data lakes.
  • Experience designing and rolling out data governance frameworks covering data quality, PII/PHI management, access control, and freshness monitoring.
  • Experience designing orchestration strategy at platform level.
  • Advanced SQL and strong Python proficiency.

Responsibilities

  • Own the end-to-end data platform, including ingestion, lake layout, transformation layers, and serving, and continuously improve its 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 a platform governance framework covering data quality, PII/PHI classification and controls, freshness SLAs, and lineage, and hold the broader team to it.
  • Establish CI/CD, automated testing, monitoring, alerting, and orchestration standards for the team to adopt and operate against.
  • Set data contract standards for product delivery teams and influence their services to make downstream data consumption cleaner and more reliable.
  • Partner with analysts and data scientists to operationalize advanced analytics, predictive models, and AI use cases on the platform.
  • Mentor engineers, lead architecture reviews, and take point on technical response to major incidents.

Desired Qualifications

  • Experience in healthcare, benefits, insurance, or another regulated industry.
  • Apache Spark experience, including performance tuning at scale.
  • Apache Kafka and event-driven architecture experience.
  • Familiarity with distributed systems and microservices as data producers.
  • Exposure to machine-learning operationalization or AI platforms.

About the Company

Personify Health

delivers personalized health and wellbeing solutions

Personify Health provides personalized health and wellbeing solutions for healthcare organizations, targeting health networks, employers, and plan administrators to engage members and lower costs. Its platform combines mental health, family planning, financial wellness, and nutrition services through advanced technology and partnerships to deliver customized health offerings and streamlined health plan administration. The company differentiates itself by delivering a holistic, data-driven approach that integrates multiple wellbeing domains and aligns services with each client’s goals, rather than offering one-size-fits-all programs. Its aim is to create a more engaging healthcare experience by connecting data and resources on its platform, ultimately empowering people to lead healthier lives and enabling cost-effective care for organizations.

Company size
1,001-5,000
Company stage
Series A
Total funding
$99.7M
Headquarters
Framingham, MA
Founded
2004

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