Senior Data Engineer

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Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence.

Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.

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Note: This position is not eligible for Immigration Sponsorship at this time

Location: Bay Area, CA (Hybrid, 3 days per week onsite)

One of our well-known clients, a leading global digital retail and e-commerce organization, is seeking a Senior Data Engineer to design, build, and operate large-scale, production-grade data platforms that power analytics and data science across the Retail Online organization.

This is a senior, hands-on engineering role for someone who can operate at the intersection of data pipeline architecture, analytics engineering, and production operations. The person will partner with Data Science, Analytics, and Business teams to scope initiatives, govern cross-functional dependencies, and deliver dependable, production-grade data assets that serve analysts, data scientists, and decision-makers.

The ideal candidate is not just a strong technologist. They are a delivery-minded engineer who can manage cross-functional programs, enforce rigorous QA and observability standards, translate complex methodologies into actionable insights, and keep mission-critical pipelines reliable, scalable, and cost-efficient.

• Cross-Functional Scoping & Dependency Governance — Plan project scope, timelines, and dependencies across Data Science, Analytics, and Business teams. Track critical paths and coordinate deliverables to ensure continuous, seamless delivery.
• Stakeholder Alignment & Executive Reporting — Maintain project tracking artifacts and status dashboards. Prepare and deliver executive roadmap updates, milestone progress, and risk mitigation summaries to leadership.
• Global Team Coordination & Technical Hand-offs — Direct coordination with offshore engineering teams. Align on technical designs, enforce development standards, and lead structured code and documentation reviews.
• Delivery Governance & SLA Accountability — Define delivery milestones, manage scope changes, and enforce operational SLAs. Lead cross-team incident escalations and post-incident reviews to maintain execution quality.

• Analytics QA & Production-Grade Artifact Standards — Develop, validate, and maintain Tableau dashboards and metric logic as tested, version-controlled production software. Enforce strict pre-release QA validation gates to guarantee analytical accuracy.
• Statistical Model Validation & Data Science Enablement — Partner with Data Scientists to validate data pipelines supporting forecasting, causal inference, incrementality, and MMM. Ensure inputs are fully reproducible for model development.
• Experimentation QA & Feature Store Governance — Oversee QA for A/B testing infrastructure, experiment tracking, feature stores, and inference workflows. Audit tracking mechanisms to ensure consistency between prototype models and production.
• Domain Metric Integrity…