Stitch Fix

Changing the way people find what they love.

Senior Engineering Manager – Data and Insights, Business Systems

Engineering ManagerEngineering ManagerFull TimeRemoteTeam 5,001-10,000Since 2011H1B SponsorCompany SiteLinkedIn

Location

California

Posted

132 days ago

Salary

$138K - $230K / year

8 yrs expEnglishAirflowAWSAzureCloudETLGoogle Cloud PlatformOraclePythonSparkSQLTableau

Job Description

• 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. • Own Critical Data Infrastructure: 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. • Drive AI & Automation Innovation: Establish and evolve automation and Gen AI frameworks purpose-built for Finance and HR. You will drive innovation in Gen AI applications, creating agents and automation that fundamentally transform how these teams work. • Ensure Financial & Data Integrity: Build robust, compliant systems that meet the highest standards for financial data integrity. You will 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.). • Partner to Solve Complex Challenges: 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. • 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.

Job Requirements

  • 8+ years of professional experience in data engineering, analytics engineering, or related technical roles
  • 3-5+ years of engineering management experience, leading teams of 3-10+ engineers with proven track record of building high-performing teams
  • 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
  • Working knowledge of retail financial data (FP&A metrics, merchandise planning, corporate accounting, or procurement analytics)
  • Familiarity with HR data models (headcount analytics, compensation, performance management, or recruiting metrics)
  • Experience integrating with ERPs (Oracle Fusion, NetSuite, Workday or others) and connected planning tools (Anaplan, Adaptive Planning, Essbase)
  • Understanding of SOX (Sarbanes-Oxley) compliance and IT general controls (ITGCs)
  • Experience implementing data controls, audit trails, and access management for financial and HR systems
  • Exceptional cross-functional communication skills—able to translate complex technical concepts for business audiences
  • Strong prioritization skills with business impact and ROI in mind
  • Experience working autonomously and taking ownership of complex projects from conception to deliver.

Benefits

  • Medical, dental, vision, and other benefits
  • Annual bonus
  • New hire and ongoing grants of restricted stock units

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