Senior Data Technology Consultant — Hybrid/Remote

EPAM Systems; Poland; Hybrid; PLN 360,000 - 600,000; Full time

Benefits offered by this job

Health insurance

Stock Purchase Plan

Certification (Anthropic, Gemini, GCP,

English classes

Job summary

EPAM Systems is seeking a Principal Data Technology Consultant to join the Data Practice CEE Team. You will advise clients on leveraging data technologies to boost performance, shape strategy, and drive AI transformation across programs.

The role blends technology, people and process, delivering architectures, data platforms, and accelerators while building strong client relationships and contributing to EPAM's data service offerings.

Qualifications

• Proven experience as Data Technical Consultant and Data Solution Architect.
• Expertise across data engineering, warehousing, science, governance and visualization.
• Hands-on analytics technology experience.
• Knowledge of major cloud platforms and data frameworks (Databricks, MS Fabric).
• Demonstrates deep AI/ML expertise including NLP and computer vision.

Responsibilities

• Advise clients on Data Analytics strategy and AI transformation.
• Define architectures and evaluate data environments in collaboration with architects.
• Drive data analytics initiatives and technology consulting engagements.
• Collaborate with internal, client and third-party teams to deliver transformations.
• Stay updated on data technology trends and best practices.
• Build and maintain strong client relationships.
• Develop new offerings and accelerators from EPAM's Data Service Offerings.

Skills

Data Engineering

Data Warehousing

Data Science

Data Governance

Data Visualization

AI/ML

NLP

Computer Vision

Databricks

MS Fabric

AWS

Azure

GCP

CI/CD Tools

Cloud Platforms

SDLC

Client Communication

Strategic Thinking

Tools

Databricks

MS Fabric

AWS

Azure

GCP

CI/CD Tools

BI Tools

Job description

EPAM Systems is seeking a Principal Data Technology Consultant to join the Data Practice CEE Team. You will advise clients on leveraging data technologies to boost performance, shape strategy, and drive AI transformation across programs.

The role blends technology, people and process, delivering architectures, data platforms, and accelerators while building strong client relationships and contributing to EPAM's data service offerings.