Principal Data Technology & AI Strategy Consultant

EPAM Systems; Town of Poland (NY); Presencial; USD 120.000 - 160.000; Jornada completa

Descripción de la vacante

EPAM Systems is seeking a Principal Data Technology Consultant to join the Data Practice CEE Team. In this role, you'll advise clients on leveraging digital data technologies to enhance business performance. You will work closely with technical and business data practices to assist clients with their Data Analytics strategies and AI transformations.

The ideal candidate will have strong experience in Data Engineering, Data Governance, and a deep understanding of AI/ML technologies. This position is critical for driving Data Analytics initiatives and maintaining robust client relationships.

Formación

• Strong experience as a Data Technical Consultant and Data Solution Architect.
• Expertise in Data Engineering, Data Warehousing, Data Science, Data Management.
• Hands‑on technology experience in the areas of Data Analytics.
• Awareness of data technology trends and market evolutions.

Responsabilidades

• Work with clients in their Data Analytics strategy and AI transformation.
• Enhance Data and Analytics frameworks to boost business capabilities.
• Define straightforward architectures in complex projects.
• Drive Data Analytics initiatives and consulting engagements.

Conocimientos

Data Engineering

Data Warehousing

Data Science

Data Management

Data Governance

Data Visualization

AI/ML

Natural Language Processing

Machine Learning Techniques

Cloud Platforms (AWS, Azure, GCP)

Herramientas

Databricks

MS Fabric

Descripción del empleo

EPAM Systems is seeking a Principal Data Technology Consultant to join the Data Practice CEE Team. In this role, you'll advise clients on leveraging digital data technologies to enhance business performance. You will work closely with technical and business data practices to assist clients with their Data Analytics strategies and AI transformations.

The ideal candidate will have strong experience in Data Engineering, Data Governance, and a deep understanding of AI/ML technologies. This position is critical for driving Data Analytics initiatives and maintaining robust client relationships.