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Chevron brand plus Bangalore location increase applicant density, but senior niche role limits broad competition.
Core cloud and data platform skills are transferable, though energy-specific OSDU experience increases domain bias.
Strict seniority and specific Azure Databricks, PySpark, and enterprise architecture requirements enforce rigid shortlisting.
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Own the end-to-end technical and architectural design of complex enterprise data solutions aligned to business goals and enterprise standards.
Define scalable, secure, and cost-effective solution architectures and provide governance and guidance to delivery teams through design and implementation.
Drive adoption of enterprise architecture design standards and propose alternative solutions when standard approaches don’t fit.
12-16 years of experience in solution architecture, system design, and enterprise scale delivery.
Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
Proficiency with Azure Databricks, Apache Spark (PySpark), Delta Lake, Unity Catalog, Azure Data Lake Storage, Azure Data Factory, Synapse Analytics, and data orchestration tools.
Hands-on experience building end-to-end data pipelines using Python and PySpark; strong understanding of microservices, APIs, Kafka, DevOps, and CI/CD tooling (Azure Pipelines, GitHub Actions, Terraform or similar).
Extensive experience designing large-scale data platforms and Lakehouse-style architectures with focus on data governance, security, and cloud cost optimization.
Demonstrated ability to influence architectural decisions across teams and effectively communicate complex designs to stakeholders.
Experience in driving DevOps, CI/CD, performance, scalability, reliability, and cost optimization at the architectural level, preferably in energy or industrial domains.