Principal AI & Data Architect

Job Description

Responsibilities

• Architect end-to-end enterprise data platforms incorporating medallion-architecture lake houses, data lakes, data warehouses
• Lead the design and implementation of Microsoft Fabric estates, including OneLake, Fabric Data Engineering, Warehouse, Lakehouse, and Real-Time Analytics workloads
• Drive selection and adoption of modern big data architectural patterns, including Lambda, Kappa, Data Mesh, and Federated Compute, aligned to client context
• Evaluate and recommend technology stacks, integration patterns, and migration pathways from legacy environments to modern platforms
• Design conceptual, logical, and physical data models for analytical, and lakehouse workloads using industry standards (Kimball, Inmon, Data Vault 2.0)
• Own enterprise data modelling standards, naming conventions, and model review processes across engagements
• Establish metadata management strategies: business glossaries, data dictionaries, data lineage, technical and operational metadata registries
• Define and operationalize data governance frameworks covering data ownership, stewardship, access control, and lifecycle management
• Architect data quality solutions for profiling, cleansing, monitoring, and SLA-based alerting, embedded within ingestion and transformation pipelines
• Architect data foundations that support GenAI and Agentic AI use cases, including RAG pipelines, vector stores, semantic layers, and knowledge graphs/ontologies
• Design and oversee implementation of agentic AI workflows leveraging frameworks such as Azure AI Foundry, Copilot Studio, LangGraph
• Identify and prioritize high-value AI use cases for clients, including decisioning, forecasting, anomaly detection, document intelligence, and conversational analytics
• Define data readiness criteria and governance guardrails for responsible AI adoption within enterprise environments
• Collaborate with AI/ML engineering teams to bridge data platform capabilities with model training, fine-tuning, and inference pipelines
• Engage directly with CxO, CDO, and VP-level client stakeholders as a trusted advisor on data strategy and platform modernization
• Produce architecture reference documents, roadmaps, data strategy decks, and RFP/RFI responses
• Mentor senior data engineers, data modelers, and BI architects across project teams
• Contribute to Korcomptenz’s internal IP, including reference architectures, accelerators, and go-to-market collaterals
• Represent Korcomptenz at industry events, webinars, and client workshops as a subject matter expert

Required Qualifications

• 15+ years of progressive IT experience, with at least 8 years in dedicated data architecture and platform engineering roles
• Proven hands-on delivery of large-scale data Lakehouse projects using medallion (Bronze/Silver/Gold) architecture in production environments
• Deep expertise architecting and implementing data lakes and enterprise data warehouses on Azure (ADLS Gen2, Synapse, Databricks) and/or AWS / GCP
• Strong, hands-on Microsoft Fabric experience across One Lake architecture, Fabric Data Engineering (Spark), Lakehouse, Warehouse, Dataflow Gen2, Fabric Real-Time Intelligence
• Hands-on implementation experience with GenAI solutions (RAG, prompt engineering, fine-tuning) and Agentic AI workflows on cloud platforms
• Advanced expertise in conceptual, logical, and physical data modelling across dimensional, and Lakehouse paradigms
• Deep knowledge of master data management, reference data management, and data stewardship operating models
• Expertise in metadata management: business glossaries, data dictionaries, technical metadata, and automated lineage capture
• Proven ability to design and govern data quality frameworks, including DQ rules, profiling, monitoring, and remediation workflows
• Strong grounding in the DAMA-DMBOK knowledge areas and their practical enterprise applications
• Experience operating in a consulting / professional services environment with multi-client engagement management
• Industry-vertical expertise in manufacturing, Healthcare, BFSI, or retail
• Prior experience contributing & driving product strategy, pre-sales pursuits, architecture workshops for clients

Are you interested in this position?
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