Databricks Architect
$145,600–$208,000 year
On-site · St. Louis, Missouri, United States
Job Summary
Databricks Architect role leading design, development, and deployment of data engineering solutions on Databricks; leverage Spark to build distributed workloads; deliver production-grade solutions with CI/CD and MLOps; work across AWS/Azure/GCP with deep expertise in at least one cloud; engage with clients to scope projects and communicate technical concepts; mentor junior engineers and provide technical leadership on complex projects; drive performance and scalability improvements across data pipelines and architectures; stay current with Databricks features and best practices; preferred experience in data warehouses, ETL/ELT pipelines, data lakes, and strong data modeling.
Required Qualifications
- 7+ years of experience in data engineering, data platforms, and analytics
- 10+ years of consulting experience with client engagement
- Data Engineering Professional certification and required classes
- Extensive hands-on experience with Databricks
- Working knowledge of two or more cloud ecosystems (AWS, Azure, GCP), with deep expertise in at least one
- Deep expertise in distributed computing frameworks, particularly Apache Spark, including runtime internals
- Familiarity with CI/CD practices for production deployments
- Working knowledge of MLOps and production ML pipelines
- Current knowledge across the breadth of Databricks product and platform features
- Experience implementing optimizations for performance, reliability, and scalability
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