Member of Technical Staff (Data Platform)

The role

You will design, build, and maintain data pipelines and infrastructure for large-scale AI research and production systems. You will own the data lake end to end, including ingestion, storage, and modeling of financial and market datasets.

What you will do

• Own the data platform end to end including ingestion, storage, transformation, cataloging, governance, and access
• Build reliable pipelines for large, heterogeneous datasets
• Handle schema changes, late data, revisions, backfills, and vendor failures
• Guarantee research-grade correctness including point-in-time data, lineage, versioning, and reproducibility
• Prevent look-ahead and survivorship bias
• Create trusted data products by normalizing identifiers, timestamps, corporate actions, reference data, and unstructured sources
• Build permission-aware interfaces, metadata, datasets, and benchmarks for researchers and agents
• Partner with research and engineering to turn ambiguous problems into data capabilities

Required qualifications

• Strong Python and SQL
• Experience with distributed processing and modern data infrastructure
• Demonstrated ability to design, deploy, operate, and improve business-critical data systems at scale
• Temporal-data expertise including revisions, event time versus knowledge time, reproducibility, and point-in-time querying
• Strong data judgment regarding messy, changing, unstructured, or adversarial data
• Rigor about correctness, provenance, and privacy
• Uses coding agents daily
• Builds data systems that are safe, well-described, and machine-consumable

Nice to have

• Financial-data experience such as market data, security identifiers, corporate actions, or quantitative research

About the company

ATG (Autonomous Technologies Group) is an AI lab deploying frontier reasoning systems within financial markets. Autonomous is an agentic wealth manager built on this foundation.