LEAD DATA ENGINEERING, INTEGRATION & GOVERNANCE

Bachelor's or Master's degree in Computer Science, Software Engineering, Information Systems, or related field

Proven experience  working with large-scale data in complex enterprise environments

Strong track record designing and implementing data pipelines, ingestion frameworks, transformation logic, and reusable data products across multiple enterprise systems

Experience supporting data quality, metadata management, lifecycle management, operational processes, and technical governance implementation

Strong hands-on experience with data engineering, ETL/ELT pipelines, data ingestion, transformation, preparation, and quality automation

Practical experience with modern data engineering platforms and pipeline frameworks (Databricks, Azure Data Factory, or similar orchestration and transformation tools)

Experience with metadata management, data catalogs/registries, data lineage, and traceability. Exposure to semantic integration, knowledge graphs, and ontology-driven architectures is a plus

Excellent communication skills—able to bridge the gap between technical teams and business stakeholders

Strong problem-solving and decision-making abilities, with a hands-on and ownership-driven approach

• Ability to navigate complex organizational structures and influence without direct authority