Databricks Engineer

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

Job summary

Programmers.io seeks an Azure Databricks Engineer to design scalable Lakehouse solutions on Azure using Databricks, Delta Lake, PySpark, Spark SQL, ADLS Gen2, ADF, Synapse, and modern data governance practices.

You will implement Databricks Lakehouse architecture, build robust pipelines, and ensure governance and security across enterprise data platforms in a dynamic cloud environment.

Qualifications

• Experience in cloud data architecture and Databricks platform design.
• Migration and data governance experience.
• Proficiency with Spark SQL and PySpark.
• Knowledge of Delta Lake and lakehouse architectures.
• Security and access control in data platforms.

Responsibilities

• Design Databricks Lakehouse architecture using Delta Lake and Bronze/Silver/Gold 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 for enterprise data solutions.
• Optimize Spark workloads through partitioning, cluster sizing, data skew handling, and Photon acceleration.
• Lead migration from legacy platforms and ensure governance, lineage and security.

Skills

Databricks

Azure

PySpark

Delta Lake

Data modeling

Security

Tools

Databricks Workflows

Auto Loader

Azure Data Factory

Synapse

Delta Live Tables

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.