Databricks Solution Architect (Data & AI)

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.

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture, and you will collaborate with multinational teams on innovative projects while continuing to learn and grow.

Req.#1112994925

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

Requirements

• 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

Benefits

• Medical, Dental and Vision Insurance (Subsidized)
• Health Savings Account
• Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
• Short-Term and Long-Term Disability (Company Provided)
• Life and AD&D Insurance (Company Provided)
• Employee Assistance Program
• Unlimited access to LinkedIn learning solutions
• Matched 401(k) Retirement Savings Plan
• Paid Time Off – the employee will be eligible to accrue 15-25 paid days, depending on specific level and tenure with EPAM (accrual eligibility may change over time)
• Paid Holidays - nine (9) total per year
• Legal Plan and Identity Theft Protection
• Accident Insurance
• Employee Discounts
• Pet Insurance
• Employee Stock Purchase Program
• If otherwise eligible, participation in the discretionary annual bonus program
• If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program