Databricks Engineer

Programmers.io; Minneapolis (MN); On-site; USD 120,000 - 180,000; Full time

Job summary

Programmers.io in Minneapolis, MN seeks an Azure Databricks Engineer to design and deliver scalable Lakehouse solutions on Azure using Databricks, Delta Lake, PySpark, Spark SQL, ADLS Gen2, ADF and Synapse. You will implement modern data governance practices and optimize data workflows end-to-end.

The role focuses on building robust data architectures, migrating legacy systems, and driving performance through Spark optimizations and secure data access.

Qualifications

• Candidates should show hands-on experience in cloud data architecture and Databricks platform design.
• Experience with performance optimization, migration, data modeling, streaming and security is required.
• Ability to design Lakehouse architecture and govern data across Bronze/Silver/Gold layers.

Responsibilities

• Design Databricks Lakehouse architecture using Delta Lake and Medallion layers.
• Build pipelines with Databricks Workflows, Delta Live Tables, Auto Loader and ADF.
• Collaborate on data lake strategy using ADLS Gen2, Synapse and Spark SQL.
• Optimize Spark workloads including partitioning, sizing, and photon acceleration.
• Lead migrations from SAS/ETL platforms and define governance, security and lineage.

Skills

Cloud data architecture

Databricks platform design

Performance optimization

Migration

Data modeling

Streaming

Security

Tools

Databricks Workflows

Delta Live Tables

Auto Loader

Azure Data Factory

Databricks SQL

Delta Lake

Job description

Job Summary:

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.