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Data Technology Consultant — Data & AI Modernization

Role overview

Qualifications

  • 7+ years of experience in data technology consulting, data architecture, or solution architecture delivering enterprise-scale data platforms
  • Proven hands-on experience with modern cloud data platforms (Databricks, Snowflake) across major cloud ecosystems (AWS, Azure, GCP)
  • Strong understanding of legacy data warehousing and traditional ETL tools (e.g., Oracle, DB2, Informatica, SSIS) and enterprise migration challenges
  • Demonstrated success leading complex, multi-workload enterprise data modernization and migration programs into production

Responsibilities

  • Own opportunity solution design, technical scoping, effort estimation
  • Facilitate stakeholder discovery workshops and short-term assessment engagements to formulate comprehensive legacy migration roadmaps and enterprise data strategies
  • Architect scalable, cloud-native Data & AI solutions optimized for business outcomes
  • Collaborate seamlessly across sales, delivery, and technical expert teams to ensure proposed solutions perfectly match client objectives and deliver measurable value

Key facts

Hard skills

Other skills

  • Communication

About the company

EPAM Systems logo

EPAM Systems

  • IT Services & Consulting
  • XLarge
  • 10,001+
Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has used its software engineering expertise to become a leading global provider of digital engineering, cloud and AI-enabled transformation services, and a leading business and experience consulting partner for global enterprises and ambitious startups. We address our clients’ transformation challenges by fusing EPAM Continuum’s integrated strategy, experience and technology consulting with our 30+ years of engineering execution to speed our clients’ time to market and drive greater value from their innovations and digital investments. We make GenAI real with our AI LLM orchestration, testing and engineering solutions, EPAM DIAL, EPAM EliteA™ and EPAM AI/RUN™, respectively. We deliver globally, but engage locally with our expert teams of consultants, architects, designers and engineers, making the future real for our clients, our partners and our people around the world. We believe the right solutions are the ones that improve people’s lives and fuel competitive advantage for our clients across diverse industries. Our thinking comes to life in the experiences, products and platforms we design and bring to market. Added to the S&P 500 and the Forbes Global 2000 in 2021 and recognized by Glassdoor and Newsweek as a Top 100 Best Workplace, our multidisciplinary teams serve customers across six continents. We are proud to be among the top 15 companies in Information Technology Services in the Fortune 1000 and to be recognized as a leader in the IDC MarketScapes for Worldwide Experience Build Services, Worldwide Experience Design Services and Worldwide Software Engineering Services. Learn more at www.epam.com.

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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

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