Senior Manager, Data Engineering
Core
Design, build, and optimize end-to-end data architecture and pipeline solutions, ensuring data quality and establishing foundational MLOps capabilities.
Role type
Senior Manager, Data Engineering
Builds
Data pipelines, semantic layers, and MLOps platforms for business intelligence and analytics
Domain
Data Engineering / Cloud Data Platforms
Deliverable
production ML models
Required skills
SQL, Spark, PySpark, CI/CD, ETL, Data Modeling, Agile Sprint Management, Team Leadership
Preferred skills
MS Fabric/OneLake, Machine Learning workflows
Technologies
SQL Server, Snowflake, Databricks, Fabric, OneLake, Azure DevOps, GitHub, Bitbucket, JIRA, SSIS
Responsibilities
Own end-to-end delivery of data architecture and pipeline solutions; Lead sprint planning and operations; Design and operationalize data quality frameworks; Establish foundational capabilities for MLOps; Manage and develop team members.
Seniority
Senior, hands-on IC with management responsibilities