Director Enterprise Data Platform

Surescripts

8d • $216,200 - $264,200 • Hybrid

About The Position

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 at Surescripts. This 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.

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 architectures (Raw/Bronze, Silver, Gold) at enterprise scale.
• Deep expertise with modern engineering practices including infrastructure-as-code, CI/CD, observability, automation, resiliency engineering, and platform operations
• Strong command of SQL-based transformation patterns, pipeline orchestration (cloud composer / Airflow or equivalent).
• Experience defining and enforcing data contracts, SLAs, and quality standards across complex, multi-source data environments.
• Experience implementing platform security controls, identity integration, tokenization, secrets management, and secure data access patterns
• Demonstrated ability to lead engineering teams through large-scale platform modernization and transformation initiatives
• Strong communication and collaboration skills with the ability to partner effectively across engineering, analytics, architecture, and business teams

Nice To Haves

• Master’s degree in computer science, engineering, business administration, or related field
• Experience in healthcare, life sciences, or other highly regulated industries
• Familiarity with modern data platform technologies including BigQuery, Airflow, Looker, Terraform, and observability platforms
• Experience implementing platform capabilities supporting synthetic data, data observability, metadata management, and data trust frameworks

Responsibilities

• Build and operate the medallion data lake. Own the full medallion architecture — Raw, Silver, and Gold layers — on Google BigQuery. 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 BigQuery compute and storage cost management for the data fabric. Identify optimization opportunities — query efficiency, partitioning strategy, materialized 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, organizational decisions, and executive reporting through the VP of Enterprise Data Platform.

Benefits

• comprehensive healthcare (including infertility coverage)
• generous paid time off including paid childbirth and parental leave and mental health days
• pet insurance
• 401(k) with company match and immediate vesting

What This Job Offers

• Job Type: Full-time
• Career Level: Director