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.
Influence and guide the evolution of data architecture standards across the enterprise.
Requirements:
At least 2 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).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.Bachelor’s degree in computer science, Information Technology, or a related field (or equivalent experience).Chevron participates in E-Verify in certain locations as required by law.
Buenos Aires, Buenos Aires F.D.
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