Senior Data Engineer (Databricks, SQL)
Core
Design and implement scalable data pipelines and lakehouse architectures using Databricks, migrating from Azure Synapse to support enterprise reporting and self-service analytics.
Role type
Senior Data Engineer (Databricks, SQL)
Builds
Data pipelines, lakehouse architectures, optimized data warehouses, and Power BI datasets/dashboards
Domain
Health and fitness software and payment processing
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Databricks (Spark, Delta Lake), Azure Synapse migration, complex SQL query optimization, Power BI semantic modeling, Kimball Data Warehousing, cloud data platforms
Preferred skills
None stated
Technologies
Databricks, Spark, Delta Lake, Azure Synapse, Azure SQL, Power BI, DAX
Responsibilities
Design and implement scalable data pipelines and lakehouse architectures; Execute migration from Azure Synapse to Databricks; Develop and optimize Databricks Data Warehouse; Build and maintain semantic models; Partner with analytics teams to deliver Power BI datasets; Write and tune complex SQL queries; Ensure data quality and governance
Seniority
Senior, hands-on IC
