Description

You will own the data governance framework, policies, and metadata strategy across Databricks, AWS, and Dataiku environments.

Responsibilities

• Define catalog structure, classification models, tagging, and access rules for multiple business domains.
• Implement metadata management, lineage tracking, and data quality controls to improve trust and usability.
• Drive unification of data across fragmented systems by designing scalable models and reusable governance patterns.
• Oversee data access controls, entitlements, and policy enforcement across analytic environments to ensure compliance.
• Mentor data stewards and support adoption of governance standards across business teams.

Required Skills

• 7+ years in data governance, data management, or enterprise data architecture.
• Hands-on expertise with Databricks and Unity Catalog, including catalog design, access policies, lineage, and classification.
• Experience with AWS data services: S3, Glue, Lake Formation, Redshift, and IAM.
• Strong understanding of MDM, metadata management, and data quality frameworks.
• Proven success governing data across fragmented systems, complex pipelines, and multi-cloud or hybrid environments.
• Familiarity with data privacy and compliance requirements (PII, PHI, GxP, GDPR).
• Ability to influence without authority and translate governance concepts for non-technical audiences.

Preferred Skills

• Experience in life sciences, healthcare, or regulated industries.
• Background with product-oriented data platforms or customer-facing data services.
• Knowledge of workflow tools (Jira, Confluence) and governance platforms (Collibra, Alation, data.world).

Key Skills

Education

Bachelor's degree