Senior Staff Data Engineer
Core
Building the AI and intelligence layer for an AI-native finance platform that connects to enterprise systems (ERPs, CRMs) to provide grounded, auditable intelligence for CFOs and finance leaders.
Role type
Senior Staff Data Engineer (AI/ML focus)
Builds
Machine-learning models, LLM and agentic systems, and production data pipelines for per-customer financial intelligence.
Domain
FinTech / Financial Services / Data Engineering / Machine Learning
Deliverable
production ML models
Required skills
Data architecture ownership, canonical data modeling, configuration-based extensibility, expert SQL, dbt, Snowflake/BigQuery/PostgreSQL, production orchestration (Airflow/Dagster/Prefect), data lineage/quality, Python, distributed team leadership
Preferred skills
Financial/ERP data experience (NetSuite/SAP/Oracle/Workday), multi-cloud deployments (AWS/Azure/GCP), FinTech audit compliance, synthetic test data generation, feeding ML/LLM systems
Technologies
Python, SQL, dbt, Snowflake, BigQuery, PostgreSQL, Airflow, Dagster, Prefect, AWS, Azure, GCP
Responsibilities
Design and build end-to-end ML models and agentic systems for customer-specific patterns; maintain rigorous data lineage and quality checks for financial data; lead and mentor distributed data engineering teams; optimize data pipelines for performance and cost; ensure all AI output is traceable to verified source data.