Member of Technical Staff - Engineering Lead, Data Platform
San Francisco · London · New York, NY · 8+ years experience · Full-time · Onsite · Posted Sep 30, 2026
At a glance
- Experience
- 8+ years experience
- Employment
- Full-time
- Workplace
- Onsite
- Location
- San Francisco · London · New York, NY
- Visa sponsorship
- Visa sponsorship available
About the role
- Reflection is building the trusted data backbone for the world's most capable open-weight AI systems.
- The Data Platform team builds and operates core data systems and pipelines powering research, training, and production environments.
- This is a front-line technical leader role to build, mentor, and grow the team while staying hands-on.
Responsibilities
- Build, mentor, and grow a team of ~10 exceptional 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.
Requirements
- 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.
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: We have regular off-sites, happy hours, and team celebrations.
Skills
- Spark
- Flink
- Beam
- Airflow
- Dagster
- Kafka
- PubSub
- Parquet
- Iceberg
- Delta Lake
- BigQuery
- Snowflake
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- Great Expectations