Technical Lead - DataBricks

Programmers.io; Minneapolis (MN); On-site; USD 120,000 - 150,000; Full time

Job summary

Programmers.io in Minneapolis, MN is hiring an Azure Databricks Engineer to design and deliver scalable Lakehouse solutions on Azure using Databricks, Delta Lake, PySpark, and related technologies. You will build pipelines, optimize Spark workloads, and lead migrations from legacy systems, ensuring robust data governance and security across enterprise datasets.

This full-time on-site role offers opportunities to influence data architecture and drive modern analytics initiatives within a dynamic

Responsibilities

• Hands-on cloud data architecture, Databricks design, performance tuning, migration, data modeling, streaming, and security.
• Design Databricks Lakehouse using Delta Lake with Bronze/Silver/Gold layers.
• Build pipelines with Databricks Workflows, Delta Live Tables, Auto Loader, ADF, and Databricks SQL.
• Work with ADLS Gen2, Synapse, PySpark, Spark SQL, and SQL for enterprise data.
• Optimize Spark workloads via partitioning, sizing, skew handling, broadcast joins, and Photon.
• Lead migration from SAS, Hadoop, Teradata, Oracle, SQL Server, Synapse, and legacy ETL.
• Define data modeling, domain architecture, batch/streaming, governance, security, lineage, and access controls.

Job description

Location: Minneapolis, MN (Local candidates are preferred)

Hire Type: Fulltime

The Azure Databricks Engineer will design and deliver scalable Lakehouse solutions on Azure using Databricks, Delta Lake, PySpark, Spark SQL, ADLS Gen2, ADF, Synapse, and modern data governance practices.

Key Skills & Responsibilities

The candidate should have strong hands-on experience in cloud data architecture, Databricks platform design, performance optimization, migration, data modeling, streaming, and security.

Design Databricks Lakehouse architecture using Delta Lake and Bronze/Silver/Gold Medallion layers.

Build pipelines using Databricks Workflows, Delta Live Tables, Auto Loader, Azure Data Factory, and Databricks SQL.

Work with Azure Data Lake Storage Gen2, Synapse, PySpark, Spark SQL, and SQL for enterprise data solutions.

Optimize Spark workloads through partitioning, cluster sizing, data skew handling, broadcast joins, and Photon acceleration.

Lead migration from SAS, Hadoop, Teradata, Oracle, SQL Server, Synapse, and legacy ETL platforms.

Define data modeling, domain architecture, batch/streaming, event-driven processing, governance, security, lineage, and access controls.