Member of Technical Staff - Data Platform
Reflection3 months ago
London, United Kingdom +2 moreSenior
Responsibilities
- Design ingestion and orchestration patterns for batch and streaming workloads.
- Build scalable compute and storage foundations for large-scale data processing.
- Develop reproducible pipelines with versioning, backfills, and isolated execution environments.
- Establish data quality, lineage, metadata, and governance signals for trusted production decisions.
- Manage cost and performance through guardrails, budgets, partitioning, clustering, and continuous tuning.
- Unify ingestion, processing, and workflow management across research, training, and production environments.
- Debug and operate production-grade data pipelines and systems at scale.
Requirements
- Strong data engineering background with experience shipping production-grade pipelines at scale.
- Experience designing and owning end-to-end data systems for large-scale batch and streaming workloads.
- Ability to debug complex pipeline failures, optimize cost and performance, and maintain data quality.
- Comfort working in a high-agency, fast-paced, collaborative environment across research and infrastructure boundaries.
- Interest in zero-to-one system building and creating the data backbone for open-weight AI systems.
Benefits
- Top-tier compensation and equity structured for global talent, including stock options.
- Comprehensive medical, dental, vision, and life insurance with an annual wellness allowance.
- Lunch and dinner provided daily in the office.
- 22 weeks of paid parental leave for birthing, non-birthing, adoptive, and surrogate parents.
- Unlimited paid time off in the U.S. and 30 days of vacation in the U.K.
- Visa sponsorship and support for applicable long-term immigration pathways.
- Regular off-sites, happy hours, and team celebrations.
- The role may be subject to U.S. export control authorization requirements.
Tech Stack
Categories
Data Engineering
About Reflection
Reflection is a New York–based, privately held research lab developing open foundational AI models and agentic coding tools for developers, enterprises, and public-sector users. The team includes former researchers from DeepMind, OpenAI, and Anthropic, and their work focuses on transparent, customizable systems that organizations can deploy with ownership and control.