Bespoke Labs · 2 weeks ago
Senior Data Engineer
Bespoke Labs is seeking a top-tier Data Engineer to design, own, and scale enterprise-grade data platforms supporting analytics, ML, and real-time systems. The role requires ownership of end-to-end data platforms and collaboration with product, ML, and analytics teams as a platform owner.
Responsibilities
Own end-to-end data platforms (batch + streaming)
Build and operate high-throughput streaming pipelines (Kafka-first)
Design lakehouse architectures for analytics and ML
Ensure data reliability: SLAs, monitoring, backfills, recovery
Make long-term platform architecture decisions
Partner with product, ML, and analytics teams as a platform owner
Qualification
Required
7+ years Data Engineering experience
Senior/Staff-level ownership of production data platforms
Experience at Tier-1 enterprises (FAANG, large SaaS, Fortune 100)
Strong distributed systems background
Apache Kafka (production ownership)
Apache Spark (batch + streaming)
Python or Scala
Apache Iceberg / Delta Lake / Hudi
Airflow (or equivalent orchestration)
Cloud platforms: AWS, GCP, or Azure
Data warehouses: Snowflake, BigQuery, or Redshift
Preferred
TB–PB scale data systems
Billions of events processed
Platforms used by multiple internal teams
Experience with SLAs, incidents, and reliability
Simplifying and scaling complex systems
Company
Bespoke Labs
RL for Agents
Funding
Current Stage
Early StageCompany data provided by crunchbase