Role Overview : We are seeking an exceptional Senior Data Architect / Lead Data Engineer who combines deep architectural thinking with solid hands-on engineering capabilities. This is not a documentation-only architecture role. The ideal candidate can define the target architecture, make critical technology decisions, design reusable patterns, and work directly with engineering teams to build and deliver production-grade solutions.Key Responsibilities : - Design end-to-end enterprise data architectures.- Define current, transition, and target-state architectures.- Design modern data platforms (warehouses, lakes, lakehouses, mesh, fabric).- Build scalable ingestion, integration, transformation, orchestration, and activation pipelines.- Define ETL/ELT/API/CDC/streaming integration patterns.- Design governed data products.- Develop conceptual, logical, physical, canonical, and semantic data models.- Build semantic layers, ontologies, knowledge graphs, GraphRAG, and vector stores.- Establish metadata, lineage, governance, observability, security, and compliance.- Support analytics, ML, GenAI, and intelligent agents.- Create reference architectures and engineering standards.- Perform architecture reviews and optimization.- Partner with clients and mentor engineers.Required Experience and Skills :



- 10 - 15+ years in data architecture/engineering.- Strong architecture plus hands-on engineering.- Enterprise-scale solution delivery.- Deep data lifecycle expertise and strong data modeling.- Experience with ETL, ELT, CDC, APIs, streaming.- Cloud platforms : Snowflake, Databricks, AWS, Azure, GCP.- Data warehouses, lakehouses, mesh, fabric.- Governance, metadata, lineage, quality.- Data products and contracts.- Analytics and AI-ready foundations.AI, Semantic, and Context Engineering Experience : - LLMs, GenAI, intelligent agents.- RAG, GraphRAG, knowledge graphs, vector databases.- Ontologies and semantic modeling.- Metadata-driven automation.- AI evaluation and responsible AI.AI-Native Engineering Skills : - Claude Code, Cursor, GitHub Copilot, Windsurf, OpenAI, Gemini.- Agentic frameworks, Model Context Protocol, and prompt engineering.Leadership and Startup Mindset : - Startup mindset with independent execution.- Hands-on across architecture and delivery.- Ownership, accountability, and customer-first approach.Education : - Bachelor's or Master's in a relevant field.- Relevant cloud/data/AI certifications are a plus.Why Join Context66 : - Build a modern Data, AI, and Enterprise Architecture company.- Work with experienced leaders and solve high-value problems.- Influence technical strategy and grow into leadership.- Opportunity to lead enterprise-scale data transformation initiatives.- High-impact, client-facing role with strong ownership. (ref:hirist.tech)

📌 Senior Data Architect/Lead Data Engineer (India)
🏢 Kalpavruksh Systems Private
📍 India