Senior Data Architect

Chevron•Houston, TX

About The Position

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 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.

Requirements

Education: Bachelor’s degree in computer science, Information Technology, or a related field (or equivalent experience).
Quantified experience: 10+ years of experience, including 5+ years in senior data or solution architecture (data‑focused).
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).
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.
Demonstrated strong data analysis skills.
Strong communication and collaboration skills.

Nice To Haves

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.

Responsibilities

Design and implement 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 and contribute to the evolution of those standards resulting from changing technologies and best practices.
Mentor and guide junior data engineers and analysts.
Influence and guide the evolution of data architecture standards across the enterprise.