Databricks Engineer - Full Time Only

Programmers.io; Minneapolis (MN); On-site; USD 130,000 - 170,000; Full time

Job summary

Programmers.io in Minneapolis, MN seeks an Azure Databricks Engineer who will design and deliver scalable Lakehouse solutions on Azure using Databricks, Delta Lake, PySpark, Spark SQL, ADLS Gen2, ADF and Synapse. You will architect data platforms that support governed analytics and secure data access.

You will optimize Spark workloads, lead migrations from legacy systems, implement robust data modeling, streaming, and governance, and collaborate with cross‑functional teams to deliver enterprise

Qualifications

• Experience designing scalable data lakehouse solutions on Azure.
• Proficiency with Databricks, Spark SQL and Delta Lake.
• Knowledge of governance, security and data modeling best practices.

Responsibilities

• Design Databricks Lakehouse architecture using Delta Lake and Medallion layers.
• Build pipelines with Databricks Workflows, Delta Live Tables, Auto Loader and ADF.
• Work with ADLS Gen2, Synapse, PySpark, Spark SQL for enterprise data solutions.
• Optimize Spark workloads through partitioning, sizing and tuning.
• Lead migrations from SAS, Hadoop, Oracle, SQL Server and legacy ETL platforms.
• Define data modeling, domain architecture, batch/streaming, governance and access controls.

Skills

Databricks platform design

Cloud data architecture

Performance optimization

Data governance

Data modeling

Streaming

Security

Tools

Databricks

Delta Lake

Spark SQL

PySpark

ADLS Gen2

Azure Data Factory

Synapse

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.