Principal Data Architect

Gap Inc.; California, Pleasanton (MO, CA); On-site; USD 150,000 - 200,000; Full time

Job summary

An established industry player is looking for a Retail Big Data Modeling Architect to join their Data Modeling & Architecture team. In this pivotal role, you'll design and implement robust data models that enhance supply chain optimization and customer journey analysis. Collaborating with data engineers and scientists, you'll ensure data accuracy and accessibility while driving the development of scalable data solutions. If you have a passion for data architecture and want to make a significant impact on business decisions, this opportunity is perfect for you. Join a forward-thinking organization that values innovation and professional growth.

Qualifications

• 12+ years of experience in technology with 5 years in data architecture roles.
• Strong expertise in dimensional modeling and data warehousing concepts.

Responsibilities

• Design and develop data models for supply chain, customer loyalty, and analytics.
• Lead data modeling standards and mentor junior data modelers.

Skills

Data Modeling

SQL

Agile Methodologies

Stakeholder Management

Communication Skills

Education

Bachelor's Degree in Computer Science or related field

Tools

ERwin

PowerDesigner

ER/Studio

Hadoop

Spark

Job description

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.
• Minimum of 12 years of professional experience in technology, including at least 5 years in a data architecture (Modeling) and data product solution architect role.
• 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).
• 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.