Director Enterprise Data Platform

Job Summary

Surescripts serves the nation through simpler, trusted health intelligence sharing, in order to increase patient safety, lower costs and ensure quality care. We deliver insights at critical points of care for better decisions - from streamlining prior authorizations to delivering comprehensive medication histories to facilitating messages between providers.

The Director Enterprise Data Platform leads one of the foundational teams within the Enterprise Data Platform organization. This is a senior engineering and delivery leadership role responsible for designing, building, and operating the medallion data lake that serves as the trusted data foundation for Surescripts' entire data product ecosystem.

The Enterprise Data Platform team owns the end‑to‑end data pipeline infrastructure, from source system ingestion through raw, silver, and gold layers, delivering clean, timely, and reliable data to internal consumers, external partners, and machine and AI‑based systems. This team is the reason every downstream data product can be trusted.

The Director will lead a team of data engineers, set the technical direction for how data moves and transforms across the platform, and serve as the primary owner of data reliability and pipeline health s role will operate as a peer to the leads of Data Product Delivery, Architecture and Semantic Intelligence, Platform Engineering, and Trust & Enablement, and will report directly to the VP of Enterprise Data Platform.

• Build and operate the medallion data lake. Own the full medallion architecture – Raw, Silver, and Gold layers – on Google Big Query. Define standards for how data is ingested, conformed, cleansed, and made available for downstream consumption. Ensure every layer is reliable, documented, and governed.
• Hands‑On with a high‑performing data engineering team. Develop and retain data engineers with deep expertise in cloud data platforms, pipeline development, and data modeling. Foster a culture of engineering rigor – where data quality, test coverage, and documentation are treated as first‑class deliverables alongside throughput.
• Own source system onboarding. Drive the strategy and execution for integrating new source systems into the data fabric. Define and enforce data contracts with upstream source owners. Ensure ingestion pipelines are resilient, observable, and built to scale.
• Define and meet data SLAs. Establish and own SLA commitments for data freshness, completeness, and availability across all critical data domains. Build the observability and alerting infrastructure to detect and resolve pipeline failures before they impact downstream consumers or data products.
• Partner with Architecture and Semantic Intelligence. Work closely with the Architecture team to ensure the Gold layer is built to canonical data model specifications rather than product‑specific one‑offs. The Enterprise Data Platform team executes against architecture‑approved designs – enforcing the platform's semantic gate and preventing technical debt accumulation.
• Drive cost efficiency. Own Big Query compute and storage cost management for the data fabric. Identify optimization opportunities – query efficiency, partitioning strategy, materialised view usage – and implement a continuous improvement practice around platform economics.
• Contribute to platform strategy. Participate as a senior leader in the Enterprise Data Platform leadership team. Bring the perspective of the data foundation into roadmap planning, organisational decisions, and executive reporting through the VP of Enterprise Data Platform.

Basic Requirements:

• Bachelor’s degree in computer science, engineering, information systems, or related technical field.
• 10+ years of progressive experience in data engineering, cloud engineering, data infrastructure, or distributed systems engineering roles.
• 5+ years of leadership experience managing engineering teams responsible for large‑scale enterprise platforms.
• Strong experience designing and operating cloud‑native platforms, preferably on Google Cloud Platform.
• Proven experience designing and implementing medallion or multi‑layer data lake…