Data Platforms and GCP. Builds across the logic layer, the virtual knowledge graph, security and governance services, metadata and catalog services, and the interface surfaces, under architect direction. Covers rules and policy execution, entitlements and permissible purpose handling, object and link build, catalog population and lineage, and user-facing workflows.

Key requirements
4+ years of experience in AI/ML, data engineering, or software engineering
Robust hands-on experience with Google Cloud Platform (GCP)
Experience building data platforms, knowledge graphs, metadata/catalog services, and data governance solutions
Solid programming skills in Python and/or Java
Experience with rules/policy engines, authorization, entitlements, and access controls
Understanding of data lineage, metadata management, data catalogs, and governance




Experience with knowledge graphs / graph data models and object/link relationships
Ability to build APIs, backend services, and user-facing workflows
Familiarity with security, privacy, permissible-purpose, and data access controls
Experience working under enterprise architecture/design standards
Robust problem-solving and collaboration skills

Nice-to-have
GCP services such as BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Run, GKE
Experience with Neo4j or other graph databases
Knowledge of IAM, policy-as-code, data governance, and lineage tools
Experience with LLM/GenAI or AI-powered data platforms

📌 Ai Engineer Data Platforms Gcp Hyderabad
🏢 Saika Technologies
📍 Hyderabad