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# Databricks Solution Architect (Data & AI)

- **Company:** EPAM Systems, Inc.
- **Location:** Atlanta, GA, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $180,000.0 - $210,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Continuous Integration, Data as a Services, Data Architecture, Information Engineering, Data Sharing, Software Design Patterns, Python (Programming Language), Machine Learning, Performance Tuning, Search Technologies, Software Engineering, SQL Databases, Data Streaming, Systems Architecture, Azure Service Bus, Retrieval-Augmented Generation, Apache Spark, Generative AI, Agentic-AI, Data Lakes, Infrastructure Automation Frameworks, Apache Flink, Apache Kafka, Machine Learning Operations, Terraform, Databricks
- **Published:** October 22, 2026
- **Apply:** https://dejobs.org/x/x/4E4475C14DF64AA39C1D145093463AF4/job/

## About the Role

* 8+ years of experience in data engineering, data architecture, or software development, including 3+ years designing solutions on Databricks
 * Hands-on proficiency in Python and SQL; Scala is a plus
 * Deep knowledge of Apache Spark, Delta Lake, Lakeflow (Spark Declarative Pipelines and Jobs), Databricks SQL, and Unity Catalog
 * Experience with at least one major cloud (Azure, AWS, or GCP) and its data services, networking, and security model
 * Proven experience leading large, client driven implementation projects, including pre-sales and proposal work
 * Experience with streaming and messaging tools such as Kafka, Event Hubs, Kinesis, or Flink
 * Knowledge of design patterns, CI/CD, infrastructure as code (Terraform), and Databricks Asset Bundles
 * Working knowledge of AI on Databricks (Mosaic AI, Agent Bricks, MLflow)
 * Strong communication and consulting skills, with fluent English (B2+ or higher)
 * Authorization to work in the US or Canada

Nice to have

 * Databricks Solution Architect Champion certification (a big plus), plus certifications such as Data Engineer Professional, Generative AI Engineer Associate, or Machine Learning Professional

## Description

* Design end to end Lakehouse architectures on Databricks (Azure, AWS, or GCP), covering ingestion, medallion modeling, serving, governance, and cost control
 * Lead discovery and architecture workshops with client executives and engineering teams, and present proposed solutions and roadmaps clearly
 * Partner with sales and the Databricks field team on pursuits: shape solutions, answer RFPs, build proposals, estimate effort, and run POCs
 * Define target architectures and migration paths from other solutions to Databricks
 * Architect governance with Unity Catalog, including access control, lineage, data sharing, and compliance with client security requirements
 * Design AI solutions, including RAG, agentic workflows, Model Serving, Vector Search, and MLflow based LLMOps and MLOps
 * Guide delivery teams through build and go live, and review, audit, and improve existing designs and system architectures
 * Run performance tuning, optimization, and FinOps reviews for Spark and Databricks SQL workloads