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Personify Health

delivers personalized health and wellbeing solutions

Director of Data Platform Engineering

Engineering LeadershipUpdated on Nov 5
Full-time$125k - $170k

About the Job

Requirements

  • At least 12 years of experience in data or software engineering, including at least 5 years leading engineering organizations with managers reporting to the candidate.
  • Experience building or significantly scaling a large data platform in production in the cloud.
  • Experience with regulated, sensitive data in healthcare, insurance, or a similar industry.
  • Experience with modern data architecture, including data lakes, open table formats such as Apache Iceberg and Delta Lake, batch and stream processing, data modeling, and orchestration.
  • Data governance experience across many teams, covering data quality, personally identifiable and protected health information management, freshness, and ownership.

Responsibilities

  • Define and own the multi-year data platform roadmap, tied to Engineering and company objectives.
  • Hire, structure, and develop Engineering Managers and senior engineers from the ground up.
  • Establish the operating model for collaboration between product delivery teams and Reporting & Analytics, including data contracts, ownership, service-level agreements, and intake.
  • Guide the design of a scalable, AI-ready data lake platform on open table formats across ingestion, transformation, storage, and serving.
  • Make data quality, freshness, observability, lineage, and governance first-class platform capabilities.
  • Work with Security, Privacy, and Compliance to meet healthcare regulatory requirements, including HIPAA, SOC 2, HITRUST, and GDPR.
  • Manage the platform budget, including cloud cost management and vendor and tool selection.
  • Define success metrics, including platform adoption, time to analytics-ready data, service-level agreement performance, and cloud cost predictability, and report on them to senior leadership.

Desired Qualifications

  • Experience standing up a new organization or consolidating fragmented data functions.
  • Hands-on familiarity with Apache Spark, Apache Kafka, and event-driven or microservices architectures.
  • Experience supporting machine learning or artificial intelligence workloads, such as feature stores, model serving, or large language model-based applications.

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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