Senior Data Architect

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 costeffective 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 highperformance 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 costeffective 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:

Bachelors degree in computer science Information Technology or a related field (or equivalent experience)
Overall 510 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 problemsolving 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 EVerify in certain locations as required by law.