About this role

We are seeking an experienced Manager-Data Engineer to design, build, and scale enterprise data platforms leveraging Microsoft Fabric, OneLake, Knowledge Graph technologies, Ontology-driven data modeling, and AI-powered data solutions. The role will focus on creating semantic data foundations that enable GenAI, Agentic AI, Graph RAG, analytics, governance, and enterprise knowledge discovery. The ideal candidate will possess strong expertise in modern data engineering, graph technologies, metadata management, semantic modeling, and cloud-native architectures.

1) Required Skills
a) Data Engineering
• Strong experience with Microsoft Fabric.
• Fabric Data Engineering.
• Fabric Data Factory.
• Fabric Lakehouse.
• Fabric Data Warehouse.
• OneLake architecture.
• Apache Spark / PySpark.
• Delta Lake.
• SQL and T-SQL.
• Python.

b) Knowledge Graph & Semantic Technologies
• Ontology modeling.
• Taxonomy management.
• Knowledge Graph design.
• Entity relationship modeling.
• Semantic data integration.
• Graph data structures.
• Graph query languages.
• Graph RAG architectures.

c) Cloud & Platform
• Azure Data Services.
• Azure Storage.
• Azure Functions.
• Event-based architectures.
• REST APIs.
• Microservices architecture.
• Infrastructure as Code.

d) Governance & Metadata
• Data Catalog.
• Metadata Management.
• Data Lineage.
• Data Governance.
• Data Quality Frameworks.
• Master Data Management.

2) Preferred Skills
• Cosmos DB Gremlin API.
• Neo4j.
• RDF, OWL, SHACL.
• Microsoft Purview.
• Azure OpenAI.
• Semantic Kernel.
• Copilot Studio.
• AI Foundry.
• Vector Databases.
• LangChain or LlamaIndex.
• Graph Machine Learning.
• Agentic AI Architecture.

3) Experience
a) Essential
• 8+ years of Data Engineering experience.
• 3+ years building cloud-native enterprise data platforms.
• Experience delivering large-scale analytics and AI solutions.
• Experience with Microsoft Fabric or Azure Data Platform ecosystem.

b) Preferred
• Experience implementing knowledge graphs and graph databases.
• Experience building Graph RAG solutions.
• Experience defining enterprise ontologies and semantic models.
• Experience supporting AI and GenAI programs.

4) Education
• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or related field.
• Microsoft Fabric Data Engineer certification preferred