Senior Manager, Data Engineering
Core
Design, build, and optimize end-to-end data architecture and pipeline solutions, ensuring data quality and availability for business intelligence and reporting.
Role type
Senior Manager, Data Engineering
Builds
ETL/Extract-Transform-Load pipelines, data models, semantic layers, and MLOps/ML/AI platform integrations
Domain
Education technology, cloud data platforms
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Spark, PySpark, data pipeline architecture, CI/CD, agile sprint operations, project management, team leadership, data quality framework design
Preferred skills
MS Fabric/OneLake, SQL Server, MLOps workflows, mentoring data engineers
Technologies
SQL Server, Fabric, Snowflake, Databricks, Git, Bitbucket, GitHub, Azure DevOps, 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 and ML/AI; manage and develop team members; partner with stakeholders to ensure data availability and accuracy
Seniority
Senior, hands-on IC with management responsibilities
