Senior Data Technology Consultant – AI & Data Strategy

EPAM Systems; Poznań; On-site; PLN 250,000 - 420,000; Full time

Benefits offered by this job

Remote work within Poland

International travel up to 60 days per

Healthcare and wellbeing benefits

Employee Stock Purchase Plan

LinkedIn Learning access

Job summary

EPAM Systems is seeking a Principal Data Technology Consultant to join the Data Practice CEE Team. You will define technology strategy, roadmaps, and data culture across clients in Europe, ensuring adoption and sustainability of data solutions.

Leverage expertise across Data Engineering, AI/ML, and cloud platforms to drive analytics initiatives, architectures, and client relationships while collaborating with global teams.

Qualifications

• Strong experience as a Data Technical Consultant and Data Solution Architect.
• Expertise in Data Engineering, Data Warehousing, Data Science, Data Management, Data Governance, and Data Visualization.
• Hands-on technology experience in Data Analytics.
• Awareness of data technology trends and cloud platforms (AWS, Azure, GCP).
• Demonstrates deep expertise in AI/ML with LLMs, NLP, and Computer Vision.

Responsibilities

• Work with European technical and business data practices on Data Analytics strategy, AI transformation, and delivery programs.
• Enhance Data & Analytics frameworks to boost business capabilities and integrate systems.
• Serve as a consultant on complex projects, defining architectures with domain experts.
• Maintain understanding of architectural trends and best practices.
• Drive Data Analytics initiatives and technology consulting engagements.

Skills

Data engineering

Data warehousing

Data science

Data management

Data governance

Data visualization

AI/ML

LLMs

NLP

Computer vision

SDLC

CI/CD

Communication

Client engagement

Tools

Databricks

MS Fabric

AWS

Azure

GCP

Job description

EPAM Systems is seeking a Principal Data Technology Consultant to join the Data Practice CEE Team. You will define technology strategy, roadmaps, and data culture across clients in Europe, ensuring adoption and sustainability of data solutions.

Leverage expertise across Data Engineering, AI/ML, and cloud platforms to drive analytics initiatives, architectures, and client relationships while collaborating with global teams.