We are seeking an accomplished technology executive to serve as
**Chief Technology Officer**
for our Databricks Data & AI consulting practice.

As the senior technical authority for Databricks and the public voice of the practice, you will guide clients through data strategy, architecture and migration to Databricks, lead the technical side of pursuits, own the Databricks relationship, and build the practice's assets and market presence.

Reporting to the CEO, you will partner with client executives, our account and delivery leaders, Databricks' field teams, and industry analysts.

Success is measured by:
**Client outcomes:**
successful migrations and data and AI capabilities in production
**Practice growth:**
pipeline influenced, deals won and reusable assets in use
**Databricks channel and market presence:**
co-sell pipeline, partner program standing, and analyst and media visibility
Req# (phone hidden)
**Responsibilities**
Shape Client Data & AI Strategy: Advise client executives on multi-year data and AI platform strategy, target-state architecture, governance and AI readiness, and set the practice's vision and offerings for AI modernization, agentic analytics and advanced analytics
Set Architecture & Engineering Standards: Define reference architectures and standards for Lakehouse and medallion architecture, Unity Catalog governance, Lakeflow pipelines and Mosaic AI, together with production-grade practices for CI/CD, MLOps, Fin

Ops and the production release cycle
Lead Strategic Pursuits: Own the technical side of major Databricks opportunities, from discovery workshops and assessments to solution design, effort estimation, RFP responses, SOW shaping and executive presentations, and act as technical reviewer and escalation point across engagements
Drive Legacy Modernization: Lead the design of migration programs from legacy data warehouses and ETL platforms to Databricks, and build the practice's migration toolkit of assessment templates, conversion accelerators and reconciliation frameworks
Own the Databricks Partnership: Lead the technical relationship with Databricks, including co-selling, joint go-to-market and roadmap briefings, and grow the practice's standing in the Databricks partner program alongside AWS, Azure and GCP relationships
Build the Practice & Market Presence:



Create reusable assets and solution offerings, lead public relations and analyst relations as the practice's primary technical spokesperson, and represent EPAM at conferences, webinars and Databricks community events
**Requirements**
Executive Background: 10+ years of progressive technology leadership, including 5+ years as a CTO, VP Engineering, Chief Architect or equivalent, with consulting, systems-integrator or partner-services experience and a proven ability to influence and align senior technical leaders across teams
Deep Databricks Expertise: Hands-on experience designing and delivering enterprise-scale production systems on Databricks (Lakehouse, Delta Lake, Lakeflow, structured streaming, Unity Catalog, multi-workspace or multi-cloud deployments), with the ability to dive into the detail of every step: reviewing designs, data models, code, performance and cost
Legacy Migration Track Record: Demonstrated success leading migrations from legacy data warehouses and ETL tools (e.g., Teradata, Netezza, Oracle, SQL Server, Informatica, SSIS) to Databricks, through assessment, wave planning, code conversion, reconciliation and cutover, with the judgement to validate estimates
AI & Advanced Analytics: Track record of shipping production ML and generative AI systems, and experience with AI modernization, agentic analytics and advanced analytics (e.g., Agent Bricks, AI/BI Genie, RAG, predictive models) delivering measurable business impact
Engineering Excellence: Strong command of Apache Spark internals, at least one major cloud (AWS, Azure, GCP), CI/CD with Databricks Asset Bundles, infrastructure-as-code, MLOps and Fin

Ops, plus hands-on Python/PySpark and SQL, and experience establishing governance and security in regulated industries
Market & Ecosystem Knowledge: Ability to position Databricks credibly against Snowflake, Microsoft Fabric, Big

Query and AWS-native analytics, and solid knowledge of interoperability (Delta Lake, Iceberg, Uni





Form, Delta Sharing) and the surrounding BI, orchestration and streaming ecosystem
Certifications: A Databricks skilled- or architect-level credential (e.g., Data Engineer Professional, Platform Architect accreditation), or commitment to obtain one within 6 months; ML/GenAI certifications, partner accreditations, or Databricks Champion/MVP status are a strong plus
Executive Communication & Thought Leadership: Exceptional storytelling, presentation and executive advisory skills, with experience representing an organization to board-level stakeholders, industry analysts (e.g., Gartner, Forrester, Everest Group, ISG) and the media
**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.

📌 Chief Technology Officer — Databricks Data & AI Platform (Canada)
🏢 EPAM Systems
📍 Canada