Senior Data Engineering Manager
Core
Lead a global data engineering team to build and scale production-grade data pipelines, datasets, and AI-ready analytical assets for research analysts, product teams, and customer-facing data feeds.
Role type
Senior Data Engineering Manager (hands-on player-coach)
Builds
Large-scale data pipelines, production datasets, AI-ready analytical datasets, and data quality/observability frameworks.
Domain
Market research, alternative data, financial data, AI/LLM workflows
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data engineering, data architecture, ETL engineering, team leadership, SQL, PySpark, Databricks, Airflow, AI coding tools (Claude Code, Codex, Cursor), distributed data systems, pipeline architecture, data modeling, data quality, observability, production reliability
Preferred skills
Alternative data or financial data experience, building pipelines for AI agents/LLMs, collaboration with business stakeholders
Technologies
Databricks, Airflow, SQL, PySpark, Claude Code, Codex, Cursor
Responsibilities
Lead, coach, and develop a global team of data engineers while participating in architecture, design, code reviews, and debugging; Build and improve scalable data pipelines, data models, and QA systems; Architect data flows and models to support business use cases; Create data quality and observability frameworks; Use AI coding tools to accelerate engineering execution and improve documentation.
Seniority
Senior, hands-on IC with management responsibilities
