Data Platform Engineering Lead - Equity & Unlimited PTO

reflectionai; San Francisco, New York (CA, NY); On-site; USD 180,000 - 280,000; Full time

Benefits offered by this job

Top-tier compensation

Stock options

Health & wellness

Meals provided in office

Parental leave 22 weeks

Unlimited vacation (US)

Job summary

Reflection is building the trusted data backbone for open-weight AI systems, unifying ingestion, processing, and orchestration to empower researchers and engineers.

We are seeking a front-line data platform leader to build, mentor, and grow a team of ~10 engineers, guiding the technical direction while staying hands-on. You’ll partner with research, training, and production teams to enable rapid experimentation with reliable, scalable data infrastructure.

Qualifications

• Shipped production-grade data pipelines at scale.
• Experience leading a team of engineers (5-10) or readiness to build one quickly.
• Deep in ingestion/orchestration at scale, storage engines, or data quality/ lineage systems.

Responsibilities

• Build, mentor, and grow a team of ~10 data platform engineers.
• Guide the technical direction across ingestion, orchestration, compute, and storage foundations.
• Collaborate with research, training, and production teams to enable high-velocity experimentation on a unified data layer.
• Establish trusted data quality, lineage, and governance signals for confident production decisions.
• Keep cost and performance predictable through guardrails and continuous tuning.
• Stay hands-on with design reviews, architecture decisions, and critical code work.

Skills

Data platform leadership

Mentoring & coaching

Production-grade pipelines

Ingestion & orchestration at scale

Lakehouse storage engines

Modern data stack

Tools

Spark

Flink

Airflow

Dagster

Kafka

BigQuery

Snowflake

Great Expectations

Job description

Reflection is building the trusted data backbone for open-weight AI systems, unifying ingestion, processing, and orchestration to empower researchers and engineers.

We are seeking a front-line data platform leader to build, mentor, and grow a team of ~10 engineers, guiding the technical direction while staying hands-on. You’ll partner with research, training, and production teams to enable rapid experimentation with reliable, scalable data infrastructure.