Stitch Fix is looking to solve complex business challenges with technology and data by building and managing data engineering pipelines, analytics dashboards, and next-generation automation and Gen AI solutions to transform business data into a strategic asset for Finance, Procurement, Merchandising, and HR/People and Culture functions.
Requirements
- Expert-level Python and SQL skills with production-grade code quality and design patterns
- Hands-on experience building and scaling data pipelines using modern orchestration tools (Airflow, or similar)
- Deep understanding of data modeling, dimensional modeling, and data warehouse design patterns
- Experience with batch and stream processing using Spark, Flink, or similar distributed computing frameworks
- Proficiency with cloud data platforms (AWS, GCP, or Azure) and modern data stack tools
- Strong experience with BI and analytics tools (Looker, Tableau or similar)
- ETL/ELT development experience with tools like Fivetran, dbt, or custom frameworks
Responsibilities
- Build and own end-to-end data solutions, including ETL/ELT processing frameworks, data orchestration, metrics frameworks, and scalable data models optimized for retail financial data, P&C/HR analytics, and operational metrics.
- Establish and evolve automation and Gen AI frameworks purpose-built for Finance and HR.
- Drive innovation in Gen AI applications, creating agents and automation that fundamentally transform how these teams work.
- Build robust, compliant systems that meet the highest standards for financial data integrity.
- Ensure all data systems comply with SOX (Sarbanes-Oxley) requirements, implementing necessary controls and audit trails, while partnering with Compliance, Internal Audit, and Finance teams to meet all regulatory requirements (including GDPR, CCPA, etc.).
- Collaborate closely with a diverse set of stakeholders—from business leaders in Finance and People & Culture to engineering partners in Product, Data Platform, and HRIS—to solve complex data and business challenges at scale.
- Enhance current tools and providing direct support to business partners.
Other
- Lead and Mentor a World-Class Team: Hire, develop, and lead a high-performing team of data engineers and automation specialists. Foster a culture of technical excellence and continuous improvement, empowering your team to build robust solutions for data, automation, and AI.
- Define Strategy and Execute with Autonomy: You will have the autonomy to shape the team's strategic roadmap and investment priorities based on business impact. You will be responsible for both strategic planning and hands-on delivery, including enhancing current tools and providing direct support to your business partners.
- 8+ years of professional experience in data engineering, analytics engineering, or related technical roles, with demonstrated progressive responsibility
- 3-5+ years of engineering management experience, leading teams of 3-10+ engineers with proven track record of building high-performing teams
- Exceptional cross-functional communication skills—able to translate complex technical concepts for business audiences
