Senior Data Engineer
Core
Own the company's single source of truth for data, building reliable pipelines to feed a central warehouse and enabling self-serve access for teams and AI tools.
Role type
Senior Data Engineer (Team Lead)
Builds
Production data warehouse, automated ETL/ELT pipelines, and self-serve data access layers.
Domain
Financial Services / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, modern data pipeline and ETL/ELT tools (dbt, Airflow, Fivetran), layered warehouse architecture (medallion), Databricks, Azure cloud services, API integration, people management
Preferred skills
Python for data tooling, data governance standards, building platforms from scratch
Technologies
dbt, Airflow, Fivetran, Databricks, Azure Data Factory, Azure Data Lake, Azure SQL, HubSpot, QuickBooks, Jira
Responsibilities
Build and run automated data pipelines from multiple systems into a central warehouse; maintain a single trusted customer and business record; monitor and fix data quality issues proactively; partner with teams to deliver clean, structured data in near real-time; review system data structure changes to prevent downstream breaks; structure and document data for self-serve access by teams and AI tools; manage and grow a team of 2 data engineers and support a dedicated data analyst
Seniority
Senior, hands-on IC with team leadership
