Senior Data Architect

hace 1 semana

Xico, México Nissan A tiempo completo

Nissan is seeking a highly skilled Senior Data Architect to lead the design and development of complex data integration solutions in a collaborative software engineering environment. As a liaison between technical teams and business stakeholders, you will facilitate, conceptualize, and define integrated data solutions that align with Data Architecture best practices and achieve company-wide objectives.

Main Responsibilities:

  • 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 and 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.
  • Presume optimal data framework, database selection, and 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.

Requirements:

  • Bachelor's Degree in Computer Systems or related field.
  • At least 5 years of experience in data engineering and data modeling.
  • Knowledge in: SQL databases, ETL, data modeling, Informatica, Snowflake, AWS, and Python.
  • Desirable AWS certifications: Developer, Data Analytics, Machine Learning, Cloud Practitioner, or Solution Architect.
  • English Level: Advanced (mandatory).

Nissan is an equal opportunities employer and welcomes applications from diverse candidates.

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