Architect End-to-End Solutions: Design scalable, resilient, and secure systems supporting Digital Product Creation, Merchandise Financial Planning (MFP), Assortment Planning, Buy Planning, and Allocation.
Stakeholder Collaboration: Partner with business, product, and engineering teams to align solution architectures with strategic objectives.
Technical Leadership: Provide hands-on guidance to engineering teams, conduct design and code reviews, and promote best practices in development and DevOps.
Integration & Data Strategy: Ensure robust integration via REST APIs, GraphQL, event-driven messaging (e.g., Kafka, RabbitMQ), and secure ETL pipelines while enforcing data governance and compliance.
Technology Evaluation: Assess and recommend tools, platforms, and vendors to meet evolving architectural and business needs.
Cloud-Native Enablement: Promote modern software paradigms such as microservices, 12-factor app design, containers, and CI/CD pipelines using Azure and/or GCP.
Governance & Compliance: Ensure architectural compliance with enterprise standards and contribute to architecture review boards.
Pre-Sales & Vendor Engagement: Support RFIs, RFPs, and vendor evaluations by articulating architectural strategies and solution benefits.
8+ years of experience in software engineering, with at least 3 years in solution or enterprise architecture.
Deep knowledge of retail planning workflows including preseason planning, in-season management, open-to-buy, and store clustering.
Proven expertise in designing distributed systems using Domain-Driven Design (DDD), event-driven architecture, and technologies such as Java, Spring Boot, RDBMS, and document databases.
Strong experience with cloud platforms such as Azure and/or GCP.
Solid understanding of integration protocols and architectures (REST, GraphQL, Kafka, RabbitMQ).
Excellent communication and leadership skills with a demonstrated ability to influence both technical and business stakeholders.
Preferred:
Experience with data platforms such as Databricks, Snowflake, or similar.
Familiarity with modern DevOps practices and tooling (CI/CD, infrastructure-as-code).
Knowledge of AI/ML applications in retail forecasting, inventory optimization, or personalization.
Experience in vendor and SaaS solution evaluation and integration.
Top Skills
What We Do
In 1969, Don and Doris Fisher opened the first Gap store on Ocean Avenue in San Francisco. They wanted to make it easier to find a great pair of jeans, and they did. Their denim and records store was a hit, and it grew to become one of the world’s most iconic brands.
Today we’re represented in more than 1400 stores in over 40 countries, and online. We have headquarters in New York, London, Shanghai, Tokyo, and, of course, San Francisco.
Our unique aesthetic is optimistic cool, elevated American style. Our clothes are crafted with care, with focused attention to thoughtful design. We believe in staying true to our heritage while creating what’s next.
Don and Doris Fisher always wanted to “do more than sell clothes.” They wanted to support the people who ran their company, to be active in their communities, and to have a positive impact on the world. Their vision helped transform retail, and we’re still following their lead.
We stand for freedom and possibility for all; we champion diverse ideas that transcend generations, geographies and genders.
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