Total Number of Openings
About the position:
Senior Data architects lead the design and implementation of data collection, storage, transformation, orchestration (movement) and consumption to achieve optimum value from data. They are the technical leaders within data delivery teams. They play a key role in modeling data for optimal reuse, interoperability, security and accessibility as well as in the design of efficient ingestion and transformation pipelines. They ensure data accessibility through a performant, cost-effective consumption layer that supports use by citizen developers, data scientists, AI, and application integration. And they instill trust through the employment of data quality frameworks and tools. The data architect at Chevron predominantly works within the Azure Data Analytics Platform, but they are not limited to it. The Senior Data architect is responsible for optimizing costs for delivering data. They are also responsible for ensuring compliance to enterprise standards and are expected to contribute to the evolution of those standards resulting from changing technologies and best practices.
Key Responsibilities:
• Design and overseeing the entire data architecture strategy
• Mentor junior data architects to ensure skill development in alignment with the team strategy
• Design and implement complex scalable, high-performance data architectures that meet business requirements
• Model data for optimal reuse, interoperability, security and accessibility
• Develop and maintain data flow diagrams, and data dictionaries
• Collaborate with stakeholders to understand data needs and translate them into technical solutions
• Ensure data accessibility through a performant, cost-effective consumption layer that supports use by citizen developers, data scientists, AI, and application integration
• Ensure data quality, integrity, and security across all data systems
• Lead the design and implementation of data warehouses, data lakes, and other data storage solutions
• Establish and enforce data governance policies and best practices
• Ensure compliance to enterprise standards
• Drive a culture of standardization in data transformation and analytics logic and contribute to the evolution of those standards resulting from changing technologies and best practices across the enterprise
• Influence and guide the evolution of data architecture standards across the enterprise
Required Qualifications:
• Bachelor’s degree in computer science, Information Technology, or a related field (or equivalent experience)
• Overall, 5-10 years of experience with at least 5 years of proven experience as a Data Architect or similar role
• Strong knowledge of data modeling, data warehousing, and data integration techniques
• Proficiency in database management systems (e.g., SQL Server, Oracle, PostgreSQL)
• Experience with big data technologies (e.g., Hadoop, Spark) and data lake solutions (e.g., Azure Data Lake, AWS Lake Formation)
• Experience with big data technologies data lake solutions DBMS and cloud platforms
• Experience in data modeling, ERDs, Star and/or Snowflake, and physical model design for analytics and application integration
• Experience in designing data pipelines for optimal performance, resiliency, and cost efficiency
• Experience translating business objectives and goals into technical architecture for data solutions
• Familiarity with cloud platforms (e.g., Microsoft Azure, AWS, Google Cloud Platform)
• Strong understanding of data governance and security best practices
• Excellent problem-solving skills and attention to detail
• Strong communication and collaboration skills
• Track record for defining/implementing data architecture framework and governance around master data, meta data, modeling
Preferred Qualifications:
• Experience in Erwin, Azure Synapse, Azure Databricks, Azure DevOps, SQL, Power BI, Spark, Python, R
• Ability to drive business results by building optimal cost data landscapes
• 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
• Certifications such as AWS Certified Solutions Architect, IBM certified data architect or similar are a plus
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.
Chevron participates in E-Verify in certain locations as required by law.