Data Governance Engineering Lead

New

Skills

Airflow Architecture Databricks Infosec Leadership PostgreSQL Security Snowflake

EnterpriseDB is seeking a visionary Senior Manager - Data Governance Engineering, offering a 100% remote position for candidates based in India. You will lead the strategy and execution of global data governance, building robust frameworks to ensure security, compliance, and high data quality across transactional, analytical, and AI workloads. As a key leader, you will manage and grow a high-performing data engineering team, drive adoption of modern governance and MDM tools, and collaborate across technical and business domains to enable trusted insights and innovation-ready data.

Key Responsibilities
  • Design, implement, and enforce data governance frameworks, policies, and procedures.
  • Lead metadata management, business glossaries, data dictionaries, and data lineage initiatives.
  • Build and oversee scalable, governance-aware data pipelines for structured and unstructured workloads.
  • Champion stewardship practices, establishing data ownership, classification, and accountability.
  • Collaborate with analytics, product, and AI teams to deliver reliable BI, predictive, and ML pipelines.
  • Adopt and integrate modern data governance and MDM platforms with Postgres and lakehouse infrastructure.
  • Recruit, mentor, and develop a world-class data engineering team focused on governance excellence.
  • Align governance strategies with regulatory, security, and business requirements.
  • Communicate progress and outcomes to executive stakeholders, ensuring transparency and trust.
Required Skills & Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or related field.
  • 10+ years in data engineering, governance, or related roles, with 3–5 years in leadership.
  • Proven expertise in building and maintaining ETL/ELT pipelines for diverse data types.
  • Hands-on experience with PostgreSQL, lakehouse architectures (Databricks, Snowflake), and Airflow.
  • Strong familiarity with data governance and MDM tools (e.g., DataHub, Collibra, Informatica).
  • Deep understanding of data governance principles, lineage, metadata, and privacy regulations (GDPR, CCPA).
  • Experience supporting AI/ML model pipelines and governance for AI-driven workloads.
  • Demonstrated leadership in hiring, mentoring, and developing engineering teams.
  • Excellent stakeholder management and communication skills.
  • Ability to balance governance rigor with business agility for efficient, trusted outcomes.

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Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: 12 Months

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