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Member of Technical Staff - Engineering Lead, Data Platform

Reflection· Engineering
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San Francisco, CA, London, New York, NYFull-timePosted 2mo ago

About the role

Reflection is building the trusted data backbone for open-weight AI systems. The Data Platform team unifies ingestion, processing, and orchestration across the data lifecycle to power research, training, and production environments. The role is a hands-on leadership position to build, mentor, and grow the data platform team while guiding technical direction and collaborating with research, training, and production teams.

Responsibilities

  • Build, mentor, and grow a team of ~10 data platform engineers hiring, coaching, and raising the bar with every person you add.
  • Guide the technical direction across the platform: ingestion and orchestration patterns for batch and streaming workloads, scalable compute and storage foundations, and reproducible pipelines with versioning, backfills, and isolated execution environments.
  • Work closely with research, training, and production teams to enable high-velocity experimentation on a unified data layer.
  • Establish trusted data quality, lineage, and governance signals so teams can make confident production decisions.
  • Keep cost and performance predictable through guardrails, budgets, and continuous system tuning.
  • Stay hands-on: design reviews, architecture decisions, and code where it matters most.

Qualifications

  • 8+ years of engineering experience with a strong data engineering foundation — you've shipped and owned production-grade pipelines at large scale (tens of TBs to PBs daily).
  • A track record as a staff/principal-level individual contributor before moving into leadership — you earn the technical trust of a strong team.
  • You've managed and grown a team (~5–10), or clearly demonstrated the leadership readiness to build one quickly — while staying technically embedded.
  • Deep in at least one of: ingestion & orchestration at scale, storage and processing engines (lakehouse formats, query engines), or data quality/lineage/reproducibility systems — with working breadth across the others.
  • Fluent in the modern data stack; you've built new systems from zero rather than maintained legacy ones.
  • Thrive in a high-agency, fast-paced environment; bias toward action and impact.
  • Collaborative, clear communicator, comfortable working across research and infrastructure boundaries.

Skills

Required:Data platform engineering leadershipIngestion & orchestrationStorage & processing enginesData quality & lineage
Nice to have:Cost & performance optimization

Benefits

  • Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
  • Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
  • Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
  • Meals: Lunch and dinner are provided in the office daily.
  • Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
  • Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
  • Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
  • Team building: Regular off-sites, happy hours, and team celebrations.
Last updated Oct 1, 2026. Interested? Apply on the company site.

About Reflection

Building frontier open intelligence

Building frontier open intelligence.

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