Data Solution Architect
Chevron Corporation (company site, opens in a new tab)12–18 yrsBengaluruOn-siteDirect career pageEst. 35–60 LPA
Posted 5h ago
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end architecture for complex enterprise data solutions, aligning designs with business objectives, enterprise standards and platform capabilities.
- Set architectural direction and governance; guide delivery teams through design and implementation, coordinating with other architects and proposing viable alternatives when standard patterns do not fit.
- Deliver scalable, secure and cost-effective solutions, with accountability for performance, reliability, data governance and cloud cost optimization.
Minimum Requirements
- Work Experience Required: 12–18 years in solution architecture, system design and enterprise-scale delivery.
- Bachelor’s degree in Computer Science, Engineering or a related field, or equivalent experience.
- Strong expertise in Azure Databricks, Spark/PySpark, Delta Lake and Unity Catalog; experience with ADLS, Azure Data Factory, Synapse Analytics, Python/PySpark pipelines, and data orchestration.
- Must be eligible to work without employment visa sponsorship; Chevron will not consider candidates on time-limited visa status.
Ideal Candidate Profile
- Likely to be competitive with hands-on experience designing large-scale Lakehouse/data platforms and distributed data processing on Azure, alongside architecture-level DevOps/CI/CD experience.
- Best fit for someone who can set enterprise architecture direction across teams while connecting business needs to secure, governed, scalable technical designs.
- Energy, oil and gas, subsurface, facilities, industrial data, or OSDU experience is an advantage; these are listed as nice to have, not mandatory.