Lead Databricks Engineer

Programmers.io; Minneapolis (MN); On-site; USD 120,000 - 170,000; Full time

Job summary

Programmers.io is seeking an Azure Databricks Engineer to design scalable Lakehouse solutions on Azure using Databricks, Delta Lake, PySpark, Spark SQL and modern data governance practices. You will build and optimize data pipelines and governance across the Azure data landscape.

You will lead cloud data architecture, migration, and performance tuning, collaborating with stakeholders to deliver enterprise-grade data solutions using ADLS Gen2, ADF, Synapse and Databricks tools.

Qualifications

• Strong hands-on experience in cloud data architecture and Databricks platform design.
• Experience with Delta Lake, PySpark, Spark SQL, and Azure data services.
• Experience optimizing Spark workloads and performance tuning.
• Experience leading migrations from legacy platforms to modern data platforms.

Responsibilities

• 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.

Skills

Cloud data architecture

Databricks platform design

Performance optimization

Migration planning

Data modeling

Streaming

Security governance

Tools

Databricks

Delta Lake

PySpark

Spark SQL

ADLS Gen2

ADF

Synapse

Delta Live Tables

Auto Loader

Databricks SQL

Job description

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.