Principal Data Tech & AI Strategy Lead

EPAM Systems; Poland; Hybrid; PLN 260,000 - 380,000; Full time

Benefits offered by this job

Health insurance

Multisport

Shopping vouchers

Referral bonuses up to $2,000

Hybrid by design with remote work in/2

Job summary

EPAM Systems seeks a Principal Data Technology Consultant to guide data strategy and AI transformation across European engagements. You will work with executives and technical teams to design, implement and scale data platforms and analytics programs in a multi-cloud environment.

Responsibilities include leading complex data projects, driving architectural decisions, and developing new data service offerings while staying current with AI/Large Language Model advancements.

Qualifications

• Extensive experience in data engineering and analytics across platforms.
• Strong knowledge of data management, governance and visualization.
• Hands-on data analytics projects with cloud platforms and AI/ML.

Responsibilities

• Advise on data strategy, architecture and AI transformation programs.
• Define data analytics roadmaps and implement data-driven solutions.
• Collaborate with cross-functional teams to deliver integrations.
• Maintain awareness of data tech trends and best practices.
• Develop accelerators, blueprints and open-source tools for data services

Skills

Data engineering

Data warehousing

Data science

Data governance

Data visualization

AI/ML with LLMs

NLP & computer vision

CI/CD

SDLC understanding

Communication with clients

Tools

Databricks

MS Fabric

AWS

Azure

GCP

Job description

EPAM Systems seeks a Principal Data Technology Consultant to guide data strategy and AI transformation across European engagements. You will work with executives and technical teams to design, implement and scale data platforms and analytics programs in a multi-cloud environment.

Responsibilities include leading complex data projects, driving architectural decisions, and developing new data service offerings while staying current with AI/Large Language Model advancements.