Engineering Lead, Data Platform

About the role

Reflection is building the trusted data backbone for open‑weight AI systems. The Data Platform team needs a front‑line technical leader to build, mentor, and grow a team that delivers reliable, reproducible, and scalable data infrastructure.

Key responsibilities

• Build, mentor, and grow a team of ~10 data platform engineers, handling hiring and coaching.
• Define technical direction for ingestion, orchestration, storage, and reproducible pipelines.
• Collaborate with research, training, and production teams to enable high‑velocity experimentation.
• Establish data quality, lineage, and governance signals for confident production decisions.
• Maintain cost and performance predictability through guardrails, budgets, and continuous tuning.
• Stay hands‑on with design reviews, architecture decisions, and critical code contributions.

Required profile

• 8+ years of engineering experience with large‑scale production data pipelines (tens of TBs to PBs daily).
• Prior staff/principal‑level individual contributor experience and proven technical credibility.
• Demonstrated ability to manage or rapidly build a team of 5–10 engineers while staying technically embedded.
• Deep expertise in at least one area: ingestion/orchestration at scale, storage/processing engines, or data quality/lineage systems.
• Fluent in the modern data stack and comfortable building new systems from scratch.
• Collaborative communicator thriving in a fast‑paced, high‑agency environment.

Required skills

• Spark, Flink, Beam
• Airflow, Dagster, Kafka, PubSub
• Parquet, Iceberg, Delta Lake, BigQuery, Snowflake
• Great Expectations and other metadata/lineage tools

What we offer

• Top‑tier compensation with salary and equity.
• Stock options for all contributors.
• Comprehensive health, dental, vision, and life coverage plus wellness allowance.
• Daily lunch and dinner provided on‑site.
• 22 weeks paid parental leave for all new parents.
• Unlimited PTO in the U.S. (30 days in the U.K.) and visa sponsorship.