Data reusability, business outcome, cost efficiency
Enable business opportunities through data availability and accessibility, performing end-to-end data lifecycle management with a focus on reusability, business outcome, and cost efficiency
Job Summary
Enable business opportunities through data availability and accessibility, performing end-to-end data lifecycle management with a focus on reusability, business outcome, and cost efficiency.
Accountable for hands-on design, enablement, and production ownership of Chevron’s Enterprise Lakehouse architecture, implementing best practices in data engineering for AI-ready data.
Define and operationalize governed, scalable, and cost-efficient Lakehouse patterns primarily on Azure Databricks with Unity Catalog, while selectively evaluating and guiding usage of Microsoft Fabric.
Matching Summary
Enable business opportunities through data availability and accessibility, performing end-to-end data lifecycle management with a focus on reusability, business outcome, and cost efficiency.
Skills & Requirements
Must-have
Enterprise Lakehouse architecture
Azure Databricks with Unity Catalog
Data reusability, business outcome, cost efficiency
Hands-on design and enablement
Data lifecycle management
AI-ready data architecture
Nice-to-have
Mentoring and guiding architects
Collaboration with stakeholders
CI/CD patterns for Lakehouse assets
Key Requirements
No people management responsibilities
Relocation will not be considered
International considerations will not be considered