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Gap Inc.

Senior Staff Data Architect

Gap Inc.

Retail Big Data Modeling Architect designing and implementing data models for critical business functions. Collaborating with cross-functional teams to ensure data accuracy and accessibility.

Posted 4/22/2026full-timeDallas • Texas • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies
HadoopNoSQLSparkSQL

About the role

Key responsibilities & impact
  • Design and develop conceptual, logical, and physical data models for various domains, including supply chain, customer, product, sales, and financial data.
  • Lead the development of data modeling standards, best practices, and guidelines.
  • Develop end-to-end solution architectures for data-driven and AI-focused applications, ensuring alignment with business objectives and technology strategy.
  • Mentor and guide junior data modelers, providing technical expertise and fostering their professional growth.
  • Design data models to support enterprise and operational reporting, enabling data-driven decision-making.
  • Collaborate with data scientists to develop features for machine learning models, ensuring data quality and accessibility.
  • Optimize data models for performance and scalability, supporting real-time analytics and reporting.
  • Ensure data models comply with data governance policies and standards.
  • Identify and define data quality checks and validation processes to maintain data integrity.
  • Implement data quality monitoring and reporting mechanisms.
  • Collaborate with data stewards to resolve data quality issues.

Requirements

What you’ll need
  • Proven expertise in designing and implementing data models for supply chain, customer loyalty, customer journey, and analytics reporting.
  • Strong understanding of dimensional modeling, star schema, snowflake schema, and other data warehousing concepts.
  • Experience with NoSQL databases and big data technologies (e.g., Hadoop, Spark).
  • Proficiency in SQL and data modeling tools (e.g., ERwin, PowerDesigner, ER/Studio).
  • Strong knowledge of machine learning concepts and applications.
  • Experience with agile development methodologies.
  • Solid understanding of data governance, security, privacy, and compliance standards.
  • Exceptional communication, presentation, and stakeholder management skills.
  • Experience working in agile project environments.

Benefits

Comp & perks
  • Health insurance
  • Flexible work arrangements
  • Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
data modelingdimensional modelingstar schemasnowflake schemaNoSQL databasesHadoopSparkSQLmachine learningdata governance
Soft Skills
mentoringcommunicationpresentationstakeholder managementcollaborationtechnical expertiseprofessional growthproblem-solvingdecision-makingfostering growth