Enterprise Architect

The enterprise architect turns strategic intent into actionable blueprints and ensures compliance with technical standards and guardrails.

The role involves collaborating with stakeholders, performing architecture reviews, and guiding IT and business leaders on strategic investment.

An enterprise architect’s focus is on the large spectrum of process, systems and data that enable critical business processes across the enterprise.

Responsibilities

• Convert strategic intent from stakeholders into actionable, cost-efficient, and secure blueprints that the IT organization can deliver.
• Conduct architectural reviews and assessments against architectural guidelines, enforcing rules and policies that maintain a secure, efficient and effective IT landscape.
• Define and communicate the living target architecture, high-level design, and technical roadmaps.
• Lead or participate in architecture runway and other ceremonies to ensure consistency across teams and management of dependencies.
• Review and improve architectural standards, contributing to the guardrails for the enterprise.
• Help leadership define policies, guidelines, and strategies.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
• 5+ years of prior experience as an enterprise architect, preferably in the oil and gas industry.
• 10+ years of prior experience in technical IT roles, preferably in the oil and gas industry.
• Experience in both development and operations, including DevOps.
• Skilled in implementing various architecture styles, design patterns and best practices for software development.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Preferred Qualifications

• Experience in Erwin, Azure Synapse, Azure Databricks, Azure DevOps, SQL, Power BI, Spark, Python, R.
• Familiarity with Azure AI/ML Services, Azure Analytics: Event Hub, Azure Stream Analytics, Scripting: Ansible Experience with machine learning and advanced analytics.
• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Understanding of CI/CD pipelines and automated testing frameworks.

Relocation Options

Relocation may be considered.

International Considerations

Expatriate assignments will not be considered.

Chevron regrets that it is unable to sponsor employment Visas or consider individuals on time-limited Visa status for this position.

U.S. Regulatory Notice

Chevron is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, sex (including pregnancy), sexual orientation, gender identity, gender expression, national origin or ancestry, age, mental or physical disability, medical condition, reproductive health decision-making, military or veteran status, political preference, marital status, citizenship, genetic information or other characteristics protected by applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or an accommodation, please email us at View email address on click.appcast.io. Chevron participates in E-Verify in certain locations as required by law.

Company Overview

Chevron Corporation is one of the world's leading integrated energy companies. Through its subsidiaries that conduct business worldwide, the company is involved in virtually every facet of the energy industry. Chevron explores for, produces and transports crude oil and natural gas; refines, markets and distributes transportation fuels and lubricants; manufactures and sells petrochemicals and additives; generates power; and develops and deploys technologies that enhance business value in every aspect of the company's operations. Chevron is based in Houston, Texas. More information about Chevron is available at