Back to SearchDatabricks Solution Architect (Data & AI)
Remote in United States of America: New York
Solution Architecture
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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