Responsibilities:
- - Own the end-to-end data platform lifecycle, including pipeline orchestration, warehouse infrastructure, and delivery frameworks.
- - Design and evolve scalable data architectures for analytics, AI, and BI needs; align with business priorities.
- - Build foundational data models and semantic layers to deliver consistent, trusted data assets.
Team Leadership:
- - Mentor a distributed data engineering team, promoting technical excellence and autonomy.
- - Drive architectural discipline through design reviews, RFCs, and code reviews.
- - Collaborate with data science, analytics, and business leaders to set priorities and standards.
Security & Compliance:
- - Ensure compliance with HIPAA and other regulations for sensitive healthcare data.
- - Implement access controls, data protection, and audit readiness.
- - Promote responsible AI adoption and governance standards.
Requirements:
- - 10+ years in data engineering with 4+ years in leadership.
- - Strong command of cloud platforms, orchestration, and dbt.
- - Experience in regulated industries and healthcare data is preferred.
Partner Company
Our partner is a healthcare technology company focused on improving health outcomes through data-driven insights and AI. They have a remote-first culture and emphasize collaboration, innovation, and professional growth.