Data Engineer - Governance (Section Manager)

Key Responsibilities:

• Design and develop technical solutions to enforce governance rules, including access controls, data quality checks, and lineage tracking.

• Automate processes to monitor and enhance data accuracy, completeness, and consistency.

• Implement tools to enable data discovery, lineage tracking, and understanding of data flow and transformation.

• Enforce data protection measures and ensure compliance with internal and external regulations.

• Write code/scripts to streamline governance tasks such as access validation, reporting, and data policy enforcement.

• Partner with data stewards, engineers, and business teams to align governance solutions with organizational goals and user needs.

Qualifications:

• Proficiency in Python, SQL, and scripting languages. Experience with data warehousing, data modeling, and cloud platforms (e.g., AWS, Azure, GCP).

• Solid understanding of data governance frameworks, data quality principles, and regulatory standards (e.g., GDPR, HIPAA).

• Hands-on experience with data cataloging, quality monitoring, and access control tools.

• Ability to explain technical concepts to non-technical stakeholders. Strong team player with experience working in cross-functional environments.

• Experience with governance tools such as Alation, Collibra, or Informatica is an advantage

• Knowledge of industry frameworks such as DCAM or COBIT is an advantage

• Experience working in retail industries is an advantage