| Location | Atlanta, GA |
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Senior Data Software Engineer with Databricks
Remote in Georgia
Data Software Engineering& 3 others
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We are seeking a Senior Data Software Engineer with Databricks to lead the design, development, and maintenance of scalable data integration pipelines across cloud and enterprise systems. The role focuses on building a Databricks Lakehouse on Azure, driving data ingestion, transformation, orchestration, and automation initiatives across the broader Azure data ecosystem.
Responsibilities
Lead the design and development of a Databricks Lakehouse on Azure
Research source systems, then analyze and document their data structures, data flows and business entities
Build batch and near-real-time ingestion pipelines with Databricks Auto Loader and Azure Event Hubs
Develop dbt transformations following the medallion architecture
Design and maintain an operational data store (ODS) on Databricks Lakebase
Implement integrations with Dataverse and the Power Platform
Define data engineering standards, code reviews and best practices
Ensure data quality, testing and documentation across the platform
Requirements
5+ years of data engineering experience, including a technical lead role
Expertise in Databricks, Delta Lake and Apache Spark (PySpark)
Skills in dbt and Databricks ingestion tools
Proficiency in Unity Catalog
Advanced SQL and strong Python skills
Solid data modeling skills, including dimensional modeling
Proven ability to analyze unfamiliar source systems and produce clear data documentation
Familiarity with the Azure data ecosystem: ADLS Gen2, Key Vault and Entra ID
Experience with Git and CI/CD for data pipelines
Flexibility to use AI tools
English proficiency at B2 level or higher
Nice to have
Background in Databricks Lakebase or PostgreSQL
Understanding of data governance, Lakehouse and ODS concepts
Experience with Dataverse, Power Apps or Power Automate integration
Familiarity with Terraform or Databricks Asset Bundles
Databricks certifications
AI certifications