Enterprise Data Engineering Manager, FVP
Core
Managing enterprise-scale data implementations, architecture, and technology leadership to deliver data applications, services, and ETL processes for business priorities.
Role type
Senior IC Enterprise Data Engineering Manager (FVP)
Builds
Enterprise scale mission critical data platforms (Databricks Lakehouse, GCP services), shared frameworks, and end-to-end data solutions.
Domain
Financial Services / Cloud Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Data architecture design, Databricks/Spark ecosystem, PySpark, SQL, Python, ELT/ETL tools (dbt, Fivetran), Cloud data warehouses (BigQuery, Snowflake), DataOps/CI/CD, Team leadership, Strategic planning
Preferred skills
Financial Services experience
Technologies
Databricks, GCP, Azure, AWS, PySpark, dbt, Fivetran, BigQuery, Snowflake, SQL Server
Responsibilities
Lead development of enterprise data platforms; Establish data engineering roadmap and vision; Define data engineering standards and quality frameworks; Enforce DataOps and CI/CD practices; Provide technical leadership and mentorship to data engineering teams; Collaborate on end-to-end data sourcing, processing, and delivery solutions; Design scalable data infrastructure; Coach team and educate cross-functional teams on data opportunities.
Seniority
Executive (FVP), hands-on IC with strategic leadership
