- Design, implement, and continuously improve scalable data architectures in Azure, Databricks, Fabric, and the enterprise data lake.
- Contribute to and evolve our Unity Catalog—based governance model, ensuring data is discoverable, secure, and usable.
- Expand and harden our Data Quality and Validation Framework.
- Develop and maintain resilient ingestion, transformation, and semantic pipelines that support both reporting and AI-driven use cases.
- Modernize and maintain source control, CI/CD, release management, and environment promotion strategies.
- Partner with internal teams to build AI-enabled applications and analytics experiences.
- Actively explore and apply AI-assisted development tools to improve productivity and code quality.
- Champion automation-first, validation-first, and shift-left engineering practices.
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