Data Solution Architect

Overview

The Solution Architect owns the end-to-end technical and architectural design of complex enterprise solutions, ensuring alignment with business objectives, enterprise architecture standards, and platform capabilities. The role bridges business strategy and technology execution by defining scalable, secure and cost-effective solution architectures, providing architectural governance, and guiding delivery teams through design and implementation.

What you'll do

• Own the end-to-end technical and architectural design of complex enterprise solutions.
• Define scalable, secure and cost-effective solution architectures aligned with business objectives and enterprise architecture standards.
• Provide architectural governance and guide delivery teams through design and implementation.
• Work closely with multiple architects to align on the right architecture design.
• Drive adoption of enterprise architecture design standards.
• Propose alternative solutions when standard approaches don't fit, while staying aligned to enterprise principles.
• Drive DevOps, CI/CD and automated deployment practices at the architectural level.
• Influence architectural decisions across teams and stakeholders.

What you'll need

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
• 12-18 years of experience in solution architecture, system design, and enterprise scale delivery.
• Strong expertise in Azure Databricks, Apache Spark (PySpark), Delta Lake, Unity Catalog, and scaled distributed data processing.
• Proficiency with Azure Data Lake Storage (ADLS), Azure Data Factory, Synapse Analytics, and modern data orchestration tools.
• Hands-on experience building end-to-end data pipelines using Python and PySpark.
• Deep understanding of technical architecture patterns, microservices, APIs, Kafka, and integration frameworks.
• Solid experience with DevOps and CI/CD tooling (Azure Pipelines, GitHub Actions, Terraform or similar).
• Experience designing large-scale data platforms and Lakehouse-style architectures.
• Knowledge of data governance, security, metadata management, and lineage.
• Strong understanding of data governance, security, compliance, and cloud cost optimization.
• Strong focus on performance, scalability, reliability, and cost optimization.
• Proven ability to influence architectural decisions across teams and stakeholders.
• Strong communication skills with the ability to articulate complex designs clearly.
• Excellent analytical, communication, documentation, and stakeholder management skills.

Nice to have

• Experience in Oil & Gas, subsurface, facilities, or industrial data platforms.
• Familiarity with OSDU aligned architectures and industry data standards.
• Relevant cloud or architecture certifications.
• Experience working with OSDU (Open Subsurface Data Universe) data models or similar energy industry data standards.

Details

• Location: Bangalore, Karnataka, India (Chevron Engineering and Innovation Excellence Center, Bengaluru).
• Standard work week is Monday to Friday.
• Working hours are 8:00am to 5:00pm or 1:30pm to 10:30pm, aligned to global business requirements.
• Chevron is unable to sponsor employment visas or consider individuals on time-limited visa status for this position.