Member of Technical Staff - Engineering Lead, Data Platform

The role

You will build, mentor, and grow a team of approximately 10 data platform engineers. You will guide technical direction for data systems and pipelines to support research, training, and production environments.

What you will do

• Build, mentor, and grow a team of ~10 exceptional data platform engineers
• Guide technical direction across the platform including ingestion, orchestration, compute, storage, and reproducible pipelines
• Work with research, training, and production teams to enable high-velocity experimentation
• Establish trusted data quality, lineage, and governance signals
• Keep cost and performance predictable through guardrails, budgets, and continuous system tuning
• Stay hands-on with design reviews, architecture decisions, and code

Required qualifications

• 8+ years of engineering experience with a strong data engineering foundation
• Shipped and owned production-grade pipelines at large scale (tens of TBs to PBs daily)
• Track record as a staff/principal-level individual contributor
• Managed and grown a team (~5–10), or demonstrated leadership readiness to build one quickly
• Deep in at least one of: ingestion & orchestration at scale, storage and processing engines, or data quality/lineage/reproducibility systems
• Fluent in the modern data stack
• Built new systems from zero
• Collaborative, clear communicator

Benefits

• Salary and equity
• Stock options
• Comprehensive medical, dental, vision, and life
• Annual wellness allowance
• Lunch and dinner provided in the office daily
• 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys
• Unlimited paid time off in the U.S.
• 30 days paid time off in the U.K.
• Visa sponsorship support
• Regular off-sites, happy hours, and team celebrations

Before you apply

• This position may require access to technology or source code subject to the U.S. Export Administration Regulations
• Any offer of employment may be conditioned on the Company's ability to provide access to such technology or source code in compliance with applicable U.S. export control laws

About the company

Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. They build open models to help shape the future of AI.