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.#(phone hidden)

The recruiting efforts for this position are intended to fill an existing vacancy for a new position.

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

We offer

- Extended Healthcare with Prescription Drugs, Dental and Vision, and Healthcare Spending Account (Company Paid)
- Life and AD&D; Insurance (Company Paid)
- Employee Assistance Program (Company Paid)
- Telehealth (Company Paid)
- Short-term Disability (Company Paid)
- Long-Term Disability
- Paid Time Off (including vacation and sick days)
- Registered Retirement Savings Plan (RRSP) with Company match
- Maternity/Parental/Adoption Leave Top-up
- Employee Stock Purchase Program
- Critical Illness Insurance
- Employee Discounts
- Unlimited access to LinkedIn learning solutions

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our clients, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an chance to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.




Engineer the Future with a Career at EPAM

This posting includes a salary range EPAM Canada would reasonably expect to pay the selected candidate. Individual compensation offers within the range are based on a variety of factors, including, but not limited to, experience, credentials, education, training, the demand for the role, skillset, and overall business and local labour market considerations. Most candidates are hired at a salary within the range disclosed. Salary range: CA$170,000-CA$200,000. In addition, the details highlighted in this job posting above are a general description of all other expected benefits and compensation for the position.

EPAM Canada welcomes and encourages applications from candidates with disabilities. Please contact WFA Human Resource CA [email protected] if you have questions in this regard, or if you require an accommodation to complete the application process. Click here to review EPAM’s Accessibility for Ontarians with Disabilities Accessibility Policies and Multi-Year Access.

An artificial intelligence system is software that is developed with one or more techniques that can, for a given set of human-defined objectives, using algorithmic information processing, generate outputs such as content, predictions, recommendations, or decisions with varying levels of autonomy (“AI”). Tasks that humans have traditionally done by thinking and reasoning are increasingly being done by, or with the help of, AI to help create efficiencies.EPAM may use AI during the recruitment process, in connection with collecting or processing your personal data. Some (non-exhaustive) examples of tasks that EPAM may use AI for include conducting initial screening, creating transcripts of interviews, and assessing applications/CVs against defined job description criteria to make suggestions to the individuals evaluating your candidacy.Your personal data and the results of any processing are not shared with AI applications outside of EPAM infrastructure. While EPAM may use AI to help create efficiencies during the recruitment process, EPAM does not use AI to make hiring decisions, which is done by EPAM Talent Acquisition and management.

📌 Databricks Solution Architect (Data & AI) (Canada)
🏢 EPAM Systems
📍 Canada