Senior Metadata & AI Data Platform Engineer
GlobalLogic
An application made for this job — a tailored resume and cover letter that speak straight to the posting.
Benefits offered by this job
Job summary
GlobalLogic is seeking senior data engineers to build metadata and catalog services, enabling AI-ready data foundations and delivering enterprise-scale data platforms across cloud ecosystems. You will contribute to reusable services, APIs, and platform components while supporting AI workloads in highly governed environments.
Ideal candidates will have strong SQL/Python skills, cloud experience (AWS, GCP, Azure), data modelling, and orchestration knowledge, with familiarity in Spark, Databricks,
Qualifications
- Strong experience with SQL, Python and cloud platforms (AWS, GCP, Azure).
- Solid understanding of data modelling, pipelines and orchestration tools (Airflow, dbt, or similar).
- Familiarity with modern data ecosystems — Spark, Databricks, Snowflake, BigQuery or Redshift.
- Experience with CI/CD, version control and testing best practices.
- Excellent communication skills and ability to translate complex concepts.
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
Tools
Job description
GlobalLogic is seeking senior data engineers to build metadata and catalog services, enabling AI-ready data foundations and delivering enterprise-scale data platforms across cloud ecosystems. You will contribute to reusable services, APIs, and platform components while supporting AI workloads in highly governed environments.
Ideal candidates will have strong SQL/Python skills, cloud experience (AWS, GCP, Azure), data modelling, and orchestration knowledge, with familiarity in Spark, Databricks,
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