Data Architect, Data Governance

If you have what it takes to become part of the Vistra family and would like to start a promising career with a global leader, take a look at the exciting employment opportunities that are currently available and apply online.

Job Summary

Job Description

• Actively participate in the design and evolution of the enterprise Data Strategy.
• Drive the delivery of the Data Strategy and Data Architecture solutions across the Vistra eco system incorporating multiple business units and locations, third party contractors and Managed service providers, i.e.enterprise re-usable datasolutions.
• Provide technical expertise in the architecture, design, implementation and maintenance of data assets that support business operations and analytics.
• Data risk management to avoid data loss, manage access to data in a responsible way, and ensure that data quality is trustworthy and fit for purpose, i.e. accountable for theintegrity of data, data designs, data security architecture and associated controls.

• 10+ years minimum of progressive experience in data discipline and implementing complexdata architecture solutions to meet operational and analytical requirements.
• Experience gained through college degree programs and/or certifications inInformationSystems, ComputerScience, Data Architecture, Data Engineering, Modeling, etc.
• Expertise in designing solutions for structured and unstructured data.
• Expertise designing scalable data architecture to support both batch and real-time dataproductsand platforms using best-in-classdata technologies such asrelationaldatabases,data integration, and cloud technologies(AWS, Azure, cloud data warehouse, etc.) for acontinuously changing digitallandscape.
• Expertise designing and implementing securityand access controls to includemaskingandencryptions,object tagging,role-based access with row and column level security.
• Expertise in developing and managing metadata.
• Expertise creating Conceptual, Logical and Physical Data Models that integrate with existing or proposed database structures.
• Experience with Data Quality approaches and tools including the ability to perform data profiling.
• Experience with Master Data Management (MDM) concept, tools and practices.
• Experience in writing advanced queries, performance tuning, partitioning,materialized views, etc.

• Expertise developing and maintaining data catalog tools and technologies, such as metadata management systems, data cataloging platforms, and data lineage tools.
• Experience working with data owners and stakeholders to capture and document data quality metrics to ensure consistency and accuracy of information.
• Experience working in a Data Governance and Protection program; how to capture and remediate data protection defects associated with various data classifications, such as SPI, is required.

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It is the policy of the Company to comply with all employment laws and to afford equal employment opportunity to individuals in all aspects of employment, including in selection for job opportunities, without regard to race, color, religion, sex, sexual orientation, gender identity, pregnancy, national origin, age, disability, genetic information, military service, protected veteran status, or any other consideration protected by federal, state or local laws.