Data & AI Modernization Architect

EPAM Systems; Canada; On-site; CAD 120,000 - 170,000; Full time

Benefits offered by this job

Extended Healthcare

Life and AD&D Insurance

Employee Assistance Program

Telehealth

Disability Insurance

RRSP with Company match

PTO / Vacation

LinkedIn learning access

Job summary

EPAM Systems is seeking a seasoned Data Technology Consultant to join our Data & AI practice in Canada. You will drive modernization programs, retire legacy warehouses, and move to lakehouse architectures leveraging Databricks and Snowflake across AWS, Azure, and GCP.

You will own presales end-to-end and provide strategic advisory to senior client stakeholders worldwide. The role requires 7+ years in data technology consulting and a track record delivering enterprise-scale data platforms, with

Qualifications

• 7+ years of experience in data technology consulting, data architecture, or solution architecture delivering enterprise-scale data platforms.
• Hands-on experience with modern cloud data platforms across AWS, Azure, and GCP.
• Strong understanding of legacy data warehousing and ETL tools and migrations.
• Track record of leading complex data modernization and migration programs into production.
• Excellent storytelling and executive-level advisory skills.

Responsibilities

• Lead End-to-End Presales Lifecycle: own solution design, scope, and effort estimation.
• Drive discovery workshops to formulate legacy migration roadmaps and data strategies.
• Design modern cloud architectures using data lakehouse patterns and cloud platforms.
• Bridge business and technology through collaboration with sales, delivery, and technical teams.

Skills

Data technology consulting

Data architecture

Solution architecture

Presales lifecycle

Executive advisory

Tools

Databricks

Snowflake

AWS

Azure

GCP

Job description

EPAM Systems is seeking a seasoned Data Technology Consultant to join our Data & AI practice in Canada. You will drive modernization programs, retire legacy warehouses, and move to lakehouse architectures leveraging Databricks and Snowflake across AWS, Azure, and GCP.

You will own presales end-to-end and provide strategic advisory to senior client stakeholders worldwide. The role requires 7+ years in data technology consulting and a track record delivering enterprise-scale data platforms, with