[Hiring] Databricks Solution Architect @EPAM Systems

Role Description

We are seeking a Databricks Solution Architect to join EPAM's Data & AI practice in North America. You will design and deliver governed data, analytics, and AI platforms on Databricks for enterprise clients, and you will join pre-sales pursuits to shape solutions, estimates, and proposals.

Responsibilities

• 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.

Qualifications

• 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.