- Own reusable data ingestion & processing
Design and lead reusable ingestion frameworks, transformation libraries, and patterns that domain teams can self serve across batch, streaming, and real time workloads.
- Set cross domain data standards
Define and enforce enterprise standards for data modelling, schema evolution, quality, lineage, security, and metadata to ensure data products are consistent and interoperable across domains.
- Enable and unblock domain teams
Provide templates, accelerators, POCs, and hands on guidance so domain teams can rapidly build and operate their own data products using shared tooling and reusable components.
- Build and run cloud data foundations
Architect and oversee cloud-based data environments (Data Lake, Data Warehouse, Ingestion and Processing pipelines), including migration from legacy systems and ongoing optimization.
- Lead team and engineering excellence
Manage and mentor a central team of data engineers, drive code quality, reviews, best practices, automation, and a culture of continuous improvement and reuse.
- Run the central Data COE (Center of Excellence)
Oversee the Data COE function to establish and maintain enterprise standards, drive adoption across domains, automate engineering tasks (CI/CD, testing, deployment), and ensure consistent application of best practices and governance frameworks.
