Senior Metadata & AI Data Platform Engineer

GlobalLogic; Poland; Hybrid; PLN 200,000 - 320,000; Full time

Benefits offered by this job

Empowering Projects

L&D support

DEI commitments

Career growth

Benefits package

Flexible relocation

Job summary

GlobalLogic seeks senior data engineers to build metadata, catalog services, and AI-enabled data foundations across enterprise systems. You will design scalable data platforms, implement knowledge graphs, and enable discovery for AI agents and applications.

You'll work with cloud-native deployments on AWS, GCP, or Azure, integrate with modern data ecosystems, and help govern data across complex environments while mentoring colleagues and shaping technical direction.

Qualifications

• Strong experience delivering enterprise-scale data platform capabilities beyond traditional ETL solutions.
• Experience implementing data virtualization, federation, metadata platforms, governance capabilities, or large-scale platform services.
• Experience with CI/CD, version control and testing best practices.
• Strong communication skills and the ability to drive technical direction.

Responsibilities

• Building metadata and catalog services
• Implementing knowledge graph and semantic capabilities
• Delivering data discovery and search experiences
• Enabling AI-ready data foundations
• Building context services for AI agents and applications
• Providing subject matter expertise on metadata and AI data services

Skills

SQL

Python

Cloud platforms

Airflow

dbt

Spark

Databricks

Snowflake

BigQuery

Redshift

Tools

Airflow

dbt

Spark

Databricks

Snowflake

BigQuery

Redshift

Git

Job description

GlobalLogic seeks senior data engineers to build metadata, catalog services, and AI-enabled data foundations across enterprise systems. You will design scalable data platforms, implement knowledge graphs, and enable discovery for AI agents and applications.

You'll work with cloud-native deployments on AWS, GCP, or Azure, integrate with modern data ecosystems, and help govern data across complex environments while mentoring colleagues and shaping technical direction.