Senior/Lead Data Engineer / MDM Data & AI Architect
- Posted
- Employment
- full time
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- unknown
Skills explicitly mentioned: Snowflake, Python, Oracle SQL
Senior/Lead Data Engineer / MDM Data & AI Architect
JD: Job Description: Data Engineer/Architect – MDM, Graph & AI Role Title: Senior/Lead Data Engineer / MDM Data & AI Architect Location: [Bengaluru] Grade: G3/G4 Role Summary: An experienced MDM, Graph, RDF, and AI professional to design, build, and manage enterprise-scale data platforms that leverage Master Data Management (MDM), Knowledge Graphs, Semantic Technologies (RDF/OWL/SPARQL), and AI/GenAI solutions. Skills: Design and implement enterprise Master Data Management (MDM) solutions. Define and maintain data models, hierarchies, standards, and governance processes. Experience using Snowflake for data extraction, transformation, and migration to RDF/Knowledge Graph platforms. Design and develop enterprise Knowledge Graph solutions. Create ontologies and graph-based data models in Neo4j to represent entities, relationships, and business rules. Hands-on experience with RDF, SPARQL, and Semantic Web technologies. Strong understanding of Linked Data principles, URI design, and RDF serialization formats like JSON-LD, RDF/XML, N-Triples. Experience with graph databases and triple stores such as Oracle Graph, Amazon Neptune, Neo4j, or Stardog. Proficiency in Python for data transformation, automation, integration, and AI-enabled data processing. Strong Oracle SQL and PL/SQL skills, including complex query development, data profiling, and performance tuning. Experience with MCP (Model Context Protocol) or similar AI tool integration frameworks. Good understanding of Knowledge Graph and LLM integration, including RAG pipelines, entity linking, and graph embeddings. Design and implement AI governance, explainability, and trust frameworks.
Official Taleo metadata: primary skills Snowflake^Python^Oracle SQL; primary location Bengaluru SA; other locations Pune; employment Permanent; posted Jul 29, 2026, 9:30:00 AM.