Data Technology Consultant — Data & AI Modernization

EPAM Systems Inc; United States; On-site; USD 140,000 - 190,000; Full time

Job summary

EPAM Systems is seeking a seasoned Data Technology Consultant to join our expanding Data & AI practice and drive modernization programs for EPAM clients. You will bridge technology and business value: retire legacy data warehouses and ETL platforms, move to a modern lakehouse stack, and unlock analytics and AI use cases that were out of reach before.

You will design innovative modernization solutions, own presales end-to-end, and bring strategic advisory plus deep technical know-how to senior

Qualifications

• 7+ years in data technology consulting or equivalent enterprise data roles.
• Experience designing and delivering modern data lakehouse architectures.
• Proven ability to translate complex data concepts into business outcomes.

Responsibilities

• Lead end-to-end presales lifecycle, including solution design, scoping, and effort estimation.
• Facilitate discovery workshops to formulate legacy migration roadmaps and data strategies.
• Design cloud-native Data & AI architectures using Databricks and Snowflake.
• Collaborate with sales, delivery, and technical teams to align solutions with client objectives.

Skills

Data architecture

Solution architecture

Presales

Stakeholder management

Cloud data platforms

Tools

Databricks

Snowflake

AWS

Azure

GCP

Job description

We are seeking a seasoned Data Technology Consultant to join our expanding Data & AI practice and help drive Data & AI Modernization Programs for EPAM clients. This role bridges technology and business value: you will help enterprises retire legacy data warehouses and ETL platforms, move to a modern lakehouse stack, and unlock analytics and AI use cases that were out of reach before. You will design innovative modernization solutions, own presales end-to-end, and bring strategic advisory plus deep technical know-how to senior client stakeholders across worldwide industries. Req# 1027351753

Responsibilities

• Lead End-to-End Presales Lifecycle: Own opportunity solution design, technical scoping, effort estimation
• Drive Client Discovery & Advisory: Facilitate stakeholder discovery workshops and short-term assessment engagements to formulate comprehensive legacy migration roadmaps and enterprise data strategies
• Design Modern Cloud Architectures: Architect scalable, cloud-native Data & AI solutions (utilizing Databricks, Snowflake, and medallion architecture patterns) optimized for business outcomes
• Bridge Business & Technology: Collaborate seamlessly across sales, delivery, and technical expert teams to ensure proposed solutions perfectly match client objectives and deliver measurable value

Requirements

• Professional Background: 7+ years of experience in data technology consulting, data architecture, or solution architecture delivering enterprise-scale data platforms
• Modern Cloud & Lakehouse Platforms: Proven hands-on experience with modern cloud data platforms (Databricks, Snowflake) across major cloud ecosystems (AWS, Azure, GCP)
• Legacy Migration Experience: Strong understanding of legacy data warehousing and traditional ETL tools (e.g., Oracle, DB2, Informatica, SSIS) and enterprise migration challenges
• Track Record of Modernization: Demonstrated success leading complex, multi-workload enterprise data modernization and migration programs into production
• Communication & Stakeholder Management: Exceptional storytelling, presentation, and executive-level advisory skills with the ability to translate complex technical concepts into clear business narratives