We are looking for seasoned **Senior Data Technology Consultants** to join our Databricks Data & AI Consulting Practice.

You will own end-to-end Databricks initiatives.

In pre-sales, you will design the Lakehouse and AI solution.

After the win, you will lead strategic client engagements from advisory through production.

This is a hands-on leadership role for technologists who combine deep Databricks expertise with commercial ownership and client impact.

Req.#(phone hidden) **Responsibilities** Architect Databricks Solutions: Design Lakehouse architectures and AI solutions on Databricks.

This covers Delta Lake, Unity Catalog governance, Lakeflow/Delta Live Tables pipelines, Databricks SQL, and Mosaic AI (ML, GenAI, agents, Model Serving).

Where needed, integrate with cloud services and partner technologies Lead the Presales Lifecycle: Own opportunity solution design, technical scoping, and effort estimation for Databricks engagements, including migrations to Databricks, platform builds, and AI/ML use cases Facilitate Discovery: Run client workshops to capture business objectives, assess current-state data platforms, and define the target-state architecture and Databricks adoption path Drive Commercial Success: Craft proposals, pricing and engagement models, and value propositions.

Work with Databricks account teams to win and expand engagements Lead Delivery: Guide teams from advisory through production, applying Databricks best practices for performance, cost optimization (Fin

Ops), security, CI/CD, and MLOps/LLMOps **Requirements** Databricks Expertise: Deep, hands-on experience across the Databricks platform.

This includes Spark, Delta Lake, Unity Catalog,



Workflows, Lakeflow/DLT, Databricks SQL, and Mosaic AI/MLflow.

You should have a track record of leading complex, enterprise-scale Databricks implementations, such as platform builds, data migrations, and ML/GenAI production deployments Cloud & Ecosystem: Strong working knowledge of at least one major cloud (AWS, Azure, or GCP) and of the partner technologies commonly used with Databricks, such as dbt, Fivetran, Power BI/Tableau, and Terraform Consulting & Presales Background: Substantial experience in presales, solution architecture, or consulting centered on Databricks and data/AI use cases Communication & Storytelling: Outstanding ability to translate complex Lakehouse and AI concepts into clear, client-friendly narratives for senior stakeholders Commercial & Proposal Acumen: Proven ability to produce detailed proposals, RFP responses, and pricing and engagement models for Databricks-based services Strategic Advisory Skills: Strong grasp of consulting principles, with the ability to define future-state recommendations, roadmaps, and project scopes in fast-paced settings Must have: Databricks certifications (e.g., Data Engineer Professional, Machine Learning Qualified, or Generative AI Engineer)



and experience with Databricks partner programs **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 Linked

In learning solutions EPAM Systems, Inc. is an equal opportunity employer.

We recognize the value of diversity and inclusion in creating success for our customers, business partners, shareholders, employees and communities.

We are committed to recruiting, hiring, developing and promoting employees without discrimination.

As a global employer, this commitment includes complying with all laws in the countries in which we operate.

Nevertheless, we believe equal employment practices should not be limited to what the law requires.

Equal opportunity and inclusion are essential to motivate, empower and recognize the best in everyone.

At EPAM, employment actions are based on individual qualifications, without regard to race, color, religion, creed, gender, pregnancy status, sexual orientation, gender identity, gender expression, marital or familial status, national origin, ancestry, genetics, age, disability status, veteran status, citizenship status when otherwise legally able to work, or any other characteristic protected by law.

📌 Senior Data Technology Consultant, Databricks Data & AI Practice (Canada)
🏢 EPAM Systems
📍 Canada