Strategic Federated Data Platform Engineer

GlobalLogic; Polska; On-site; PLN 180,000 - 250,000; Full time

Benefits offered by this job

Flexible relocation

Comprehensive benefits

Learning & Development

DE&I initiatives

Job summary

GlobalLogic is seeking four Senior Federated Data Platform Engineers to help build core data capabilities for WPP Open applications, AI agents, and analytics. You will contribute to design decisions, implement federation and virtualization, and deliver scalable data services across enterprise and client environments.

You will work with platforms like BigQuery, Athena, Redshift, Lake Formation, and data virtualization technologies, while leveraging strong Python expertise to implement robust,

Qualifications

• Implement the platform capabilities that enable disparate data sources to be combined, virtualized, standardized, and exposed through a consistent access model without requiring extensive physical consolidation.
• Experience with big data platforms and cloud data services listed in the requirements.
• Strong Python programming skills for data platform development.

Responsibilities

• Implement data virtualization and federation capabilities.
• Develop semantic and abstraction layers.
• Create reusable APIs and access services.
• Performance tuning, scalability, reliability, and operational support.
• Contribute to platform design and technology decisions through hands-on expertise.

Tools

BigQuery

BigLake

Dataplex

Athena

Redshift Spectrum

Lake Formation

Glue

Data virtualization

Federated query

Semantic layer

Data fabric platforms

Python

Job description

GlobalLogic is seeking four Senior Federated Data Platform Engineers to help build core data capabilities for WPP Open applications, AI agents, and analytics. You will contribute to design decisions, implement federation and virtualization, and deliver scalable data services across enterprise and client environments.

You will work with platforms like BigQuery, Athena, Redshift, Lake Formation, and data virtualization technologies, while leveraging strong Python expertise to implement robust,