Sr Staff Data Architect

About Gap

Our past is full of iconic moments — but our future is going to spark many more. Our brands — Gap, Banana Republic, Old Navy and Athleta — have dressed people from all walks of life and all kinds of families, all over the world, for every occasion for more than 50 years.

But we’re more than the clothes that we make. We know that business can and should be a force for good, and it’s why we work hard to make product that makes people feel good, inside and out. It’s why we’re committed to giving back to the communities where we live and work. If you're one of the super-talented who thrive on change, aren't afraid to take risks and love to make a difference, come grow with us. 

About the Role

We are seeking an experienced Retail Big Data Modeling Architect to join our Data Modeling & Architecture team. As a key member of this team, you will be designing and implementing robust data models that support our critical business functions, including supply chain optimization, customer loyalty programs, customer journey analysis, analytics reporting, and feature development for machine learning. You will work closely with cross-functional teams, including data engineers, data scientists, business analysts, and stakeholders, to ensure data accuracy, consistency, and accessibility. Your expertise will drive the development of scalable and efficient data solutions that empower our organization to make informed decisions and achieve strategic objectives

What You'll Do

• 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.

Who You Are

• 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 at Gap

• Merchandise discount for our brands: 50% off regular-priced merchandise at Gap, 30% off at Gap Outlet, and the ability to purchase discounted merchandise during international travel at Banana Republic, Athleta, and Old Navy.
• Pension schemes available, depending on role.
• Market-leading private medical healthcare and well-being programme.*
• Voluntary medical cash plan open to all employees.
• Performance-related discretionary bonuses.*
• Access to our Employee Support Programme for overall well-being.

*For eligible employees