Databricks Architect - Full Time

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

Job summary

Programmers.io in the United States is seeking an Azure Databricks Architect to design and deliver scalable Lakehouse solutions on Azure using Databricks, Delta Lake, PySpark, Spark SQL, ADLS Gen2, ADF, and Synapse.

You will optimize Spark workloads, lead migrations from SAS, Hadoop, Teradata, Oracle, and legacy ETL platforms, and define data modeling, governance, and security practices across batch and streaming pipelines.

Qualifications

• Hands-on experience in cloud data architecture and Databricks platform design.
• Experience with performance optimization, migration, data modeling, streaming, and security.
• Proficiency with Delta Lake and modern data governance practices.

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.
• 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

Data modeling

Streaming

Security

Tools

Delta Lake

Databricks

Azure Data Factory

Synapse

Delta Live Tables

Auto Loader

Photon acceleration

Job description

Key Skills & Responsibilities

The Azure Databricks Architect 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.

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.