Data Engineering & Schema Steward Engineer

Description :

We are seeking an experienced Data Engineering & Schema Steward (Metadata Owner) to drive enterprise metadata governance while supporting structured data ingestion into a centralized Data Lake.

This dual-role position combines strong ownership of metadata standards with hands-on data engineering and data quality responsibilities.

The role is critical in ensuring data consistency, integrity, and usability across analytics, reporting, and downstream data consumers.

Key Responsibilities :

- Establish and govern ID definitions, naming conventions, versioning strategies, and schema evolution practices

- Ensure metadata consistency and alignment across analytics, reporting, and data consumption platforms

- Design, build, and support data extraction and ingestion pipelines (file-based, automated, and scheduled)

- Perform data profiling, discovery, and data quality checks to ensure reliability and accuracy

- Collaborate closely with data architects, platform teams, and domain SMEs to align data models with business requirements

- Support structured onboarding of new data sources into the centralized Data Lake

- Document metadata standards, lineage, and usage for enterprise-wide adoption

Required Skills & Experience :

- Strong hands-on experience with ETL/ELT pipelines and data integration frameworks

- Solid understanding of metadata frameworks, schema management, and data governance principles

- Experience with data profiling, quality validation, and schema enforcement

- Ability to work across engineering, analytics, and business teams

Preferred Qualifications :

- Experience working with enterprise Data Lakes and analytics platforms

- Familiarity with data lineage, cataloging, and governance tools

Why This Role :

- Opportunity to work on centralized Data Lake architecture

- Collaboration with cross-functional technical and business stakeholders