We are looking for a Staff Engineer - Data Governance to lead the design and development of a scalable, secure, and robust data governance platform.
You will play a key role in building data platform capabilities for data quality, metadata management, lineage tracking, and compliance across all data layers.
If you're passionate about building foundational data infrastructure that accelerates innovation in healthcare, we'd love to talk.
A Day in the Life
- Architect, design, and build scalable data governance tools and frameworks.
- Collaborate with cross-functional teams to ensure data compliance, security, and usability.
- Lead initiatives around metadata management, data lineage, and data cataloging.
- Define and evangelize standards and best practices across data engineering teams.
- Own the end-to-end lifecycle of governance tooling - from prototyping to production deployment.
- Mentor and guide junior engineers and contribute to technical leadership across the organization.
- Drive innovation in privacy-by-design, regulatory compliance (eg, HIPAA), and data observability solutions.
What You Need
- 8+ years of experience in software engineering, with 3+ years focused on data governance or related tooling.
- Strong experience building distributed systems for metadata management, data lineage, and quality tracking.
- Proficient in backend development (Python, Java, or Scala or Go) and familiar with RESTful API design.
- Expertise in modern data stacks: Kafka, Spark, Airflow, Snowflake etc
- Experience with open-source data governance frameworks like Apache Atlas, Amundsen, or DataHub is a big plus.
- Familiarity with cloud platforms (AWS, Azure, GCP) and their native data governance offerings.
- Prior experience in building metadata management frameworks for scale.
- Bachelors or masters degree in Computer Science, Engineering, or a related field.
