Develop and maintain a broad understanding of data architecture and systems.

Lead the design and development of logical and physical data models for transactional and analytical datastores, considering on-premise and cloud/hybrid options.

Ensure domain-driven data architecture evolution & collaboration across domains.

Evangelize data platform, standards, patterns, and best practices across business partners.

Work closely with business users and developers to create and maintain data dictionary and data lineage.

Help investigate and resolve data anomalies including data quality issues and ambiguous/redundant data definitions.

Recommend data integrity checks and controls to ensure enterprise-wide data quality.

Provide technical guidance and support for data warehouse and data initiatives including cloud migration pathways for legacy databases.

Prescribe optimal data framework, database selection & unity with global standards under the guidance of Nissan’s Enterprise Data Architect.

Work closely with data consumers (data analysts, data scientists, data engineers, etc.) to know needs and challenges, produce solutions and process improvement recommendations.

Assist with data platform optimization and scalability improvement efforts.

Ensure compliance with data policies, state and federal laws, regulations, and standards.

Enhance data security and data auditing capabilities.