Data Platform Engineering Manager
Core
Design, build, and operate an enterprise Databricks-based data fabric for technology governance, reporting, analytics, and AI-driven decision-making.
Role type
Senior IC Data Platform Engineering Manager
Builds
Enterprise data fabric, scalable ingestion patterns, integration frameworks, and data products
Domain
Financial Services / Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Databricks, cloud data platforms (Azure/AWS/GCP), event-driven architectures, data streaming, ETL/ELT pipeline design, platform engineering standards, team leadership, stakeholder management
Preferred skills
Databricks Data Engineer Professional, Azure Data Engineer Associate, AWS Data Analytics, Google Professional Data Engineer, Snowflake, Kafka, ITIL Foundation
Technologies
Databricks, Azure, AWS, Google Cloud, Kafka, Snowflake
Responsibilities
Lead design and evolution of the Databricks-based technology reference data platform; Establish scalable data ingestion patterns and integration frameworks; Design and manage data pipelines for transforming source data into enterprise assets; Ensure platform health, reliability, and compliance with security standards; Build and lead a high-performing team of data engineers and platform specialists
Seniority
Senior, hands-on IC with leadership responsibilities
