Data Solution Architect
About the role
About The Role
Required Skills
Architecture & Engineering
12-16 years of experience 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, 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)
- 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
Data & Platform Architecture
- Experience designing largescale 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.
DevOps & Non-Functional Requirements
- Experience driving DevOps, CI/CD, and automated deployment practices at the architectural level.
- Strong focus on performance, scalability, reliability, and cost optimization.
Leadership & Communication
- 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.
Chevron ENGINE supports global operations, supporting business requirements across the world. Accordingly, the work hours for employees will be aligned to support business requirements. The standard work week will be Monday to Friday. Working hours are 8:00am to 5:00pm or 1:30pm to 10:30pm.
What we can offer you
Everything we do at Chevron is guided by our values and our commitment to The Chevron Way .
Have the opportunity to take part in world-leading energy projects, advance your professional development and expand your career within an inclusive and collaborative workplace.
- Join a workplace where innovation, collaboration and safety are at the core of how we work.
- Work in thoughtfully designed environments that support focus, well-being, and innovation enhanced by digital tools that enable seamless collaboration.
- Grow through structured learning, mentorship, and opportunities to contribute to impactful projects that align with Chevron's values and business priorities.
- Access comprehensive benefits that support your health, well-being, and work-life balance.
- Engage with emerging technologies and digital solutions that are shaping the future of energy and enterprise.
how to apply
APPLY
Privacy and Terms and Conditions
Not included in the source posting: about the role.
Skills
Who can apply
The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.
Read automatically from the employer's posting text. Always confirm with the employer — requirements can change after a job is published.