Senior Engineer (Data Governance)

Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. The Senior Data Governance Engineer will be responsible for defining, implementing, and operationalizing enterprise data governance capabilities across various data management aspects.

Responsibilities:

• Define and implement data governance frameworks across metadata, quality, MDM, and access management
• Develop governance standards, policies, and operating procedures
• Ensure governance practices align with enterprise data architecture and cloud platform design
• Lead implementation and configuration of governance tools (Collibra, Alation, Purview, BigID, etc.)
• Integrate governance tools with AWS and Databricks data platforms for metadata, lineage, and quality capture
• Ensure seamless ingestion, processing, and reporting of governance metadata
• Define and operationalize data quality rules, validation processes, and monitoring frameworks
• Support design of data access models, entitlements, and approval workflows
• Contribute to data classification, PII/PHI protection, and security policy enforcement
• Facilitate workshops, training, and data literacy programs to drive governance adoption
• Communicate governance concepts, standards, and recommendations to business and technical teams
• Collaborate with architects, engineers, and analysts to embed governance into data lifecycle processes
• Develop functional and technical specifications for governance processes and integrations
• Identify opportunities for process improvement and automation
• Maintain governance documentation, metadata standards, and best practices

Requirements:

• 3–6 years of experience in data governance strategy, implementation, or operationalization
• Strong knowledge of data cataloging
• Strong knowledge of data quality management
• Strong knowledge of master data management (MDM)
• Strong knowledge of data access and entitlement management
• Strong knowledge of data classification and protection (including PII/PHI)
• Hands‑on experience with governance tools such as Collibra, Alation, Purview, BigID, Reltio, or similar platforms
• Familiarity with cloud‑based data platforms, especially AWS and Databricks
• Understanding of metadata models, lineage frameworks, and governance integration with data pipelines
• Knowledge of data engineering concepts (ETL/ELT, data modeling, orchestration)
• Experience integrating governance tools with cloud storage, catalogs, and compute engines
• Understanding of IAM/RBAC, data access policies, encryption, and data protection standards
• Experience defining or implementing data security classifications and access workflows
• Familiarity with regulatory and compliance requirements (e.g., GDPR, CCPA, SOX)
• Proven ability to manage stakeholders and drive governance adoption across teams
• Strong communication skills with the ability to explain governance concepts to non‑technical audiences
• Experience facilitating workshops, training sessions, and data literacy initiatives
• Ability to work in cross‑functional, fast‑paced environments