{"id":3273865,"url":"https://alion.io/job/kalpavruksh-senior-data-architect-data-engineering-ai","title":"Senior Data Architect - Data Engineering & AI","company":{"id":4455719,"name":"Kalpavruksh","domain":"kalpavruksh.com","url":"https://alion.io/company/kalpavruksh","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":29000,"max_usd":56000,"period":"year","method":"role_seniority_country_cell","sample_n":20},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Claude Code","optional":false},{"name":"Context Engineering","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"GraphRAG","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false},{"name":"Windsurf","optional":false}],"status":"live","first_seen_at":"2026-10-26T11:26:11Z","employer_posted_date":null,"last_verified_at":"2026-10-26T11:26:11Z","board_verified":false,"closed_at":null,"days_open":13,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":13},"description":"Senior Data Architect:\n\nLocation: Primary: Hyderabad, India. Other locations: Rest of India.\n\nEmployment Type: Full-time, Remote.\n\nWe help enterprises transform fragmented data, systems, documents, and business knowledge into trusted, governed, reusable, and AI-ready enterprise context. Our work spans modern data foundations, enterprise data architecture, integration, semantic layers, knowledge graphs, GraphRAG, ontologies, metadata, intelligent automation, and production-grade AI systems.\n\nWe believe AI does not scale on data alone. It scales on trusted context.\n\nContext66 combines deep architecture expertise, hands-on engineering, AI-native delivery, and reusable accelerators to help organizations simplify complexity, modernize platforms, improve data trust, and move AI from experimentation into measurable enterprise outcomes.\n\nRole Overview:\n\nWe are seeking an exceptional Senior Data Architect or Lead Data Engineer who combines deep architectural thinking with strong hands-on engineering capabilities.\n\nThis 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.\n\nYou will help design and implement modern enterprise data platforms, integration frameworks, governed data products, semantic layers, knowledge graphs, GraphRAG solutions, and AI-ready data foundations.\n\nWork closely with clients, enterprise architects, AI engineers, product teams, and delivery leaders.\n\nHelp shape technical standards, delivery methodologies, reusable assets, and engineering culture.\n\nKey Responsibilities:\n\n- Design end-to-end enterprise data architectures.\n\n- Define current, transition, and target-state architectures.\n\n- Design modern data platforms (warehouses, lakes, lakehouses, mesh, fabric).\n\n- Build scalable ingestion, integration, transformation, orchestration, and activation pipelines.\n\n- Define ETL, ELT, API, CDC, and streaming integration patterns.\n\n- Design governed data products.\n\n- Develop conceptual, logical, physical, canonical, and semantic data models.\n\n- Build semantic layers, ontologies, knowledge graphs, GraphRAG, and vector stores.\n\n- Establish metadata, lineage, governance, observability, security, and compliance.\n\n- Support analytics, ML, GenAI, and intelligent agents.\n\n- Create reference architectures and engineering standards.\n\n- Perform architecture reviews and optimization.\n\n- Partner with clients.\n\n- Mentor engineers.\n\n- Contribute hands-on to delivery.\n\nRequired Experience and Skills:\n\n- 10 - 15+ years in data architecture or engineering.\n\n- Strong architecture plus hands-on engineering.\n\n- Enterprise-scale solution delivery.\n\n- Deep data lifecycle expertise.\n\n- Strong data modeling.\n\n- Experience with ETL, ELT, CDC, APIs, and streaming.\n\n- Cloud platforms: Snowflake, Databricks, AWS, Azure, GCP.\n\n- Data warehouses, lakehouses, mesh, and fabric.\n\n- Governance, metadata, lineage, and quality.\n\n- Data products and contracts.\n\n- Analytics and AI-ready foundations.\n\n- Excellent communication.\n\n- Explain complex concepts clearly.\n\nAI, Semantic, and Context Engineering Experience:\n\n- LLMs, GenAI, and intelligent agents.\n\n- RAG, GraphRAG, knowledge graphs, and vector databases.\n\n- Ontologies and semantic modeling.\n\n- Metadata-driven automation.\n\n- AI evaluation and responsible AI.\n\n- Enterprise AI integrations.\n\n- AI-enabled data quality and lineage.\n\nAI-Native Engineering Skills:\n\n- Claude Code, Cursor, GitHub Copilot, Windsurf, OpenAI, and Gemini.\n\n- Agentic frameworks.\n\n- Model Context Protocol.\n\n- AI-assisted engineering.\n\n- Prompt engineering and workflow automation.\n\n- AI with human validation and governance.\n\nLeadership and Startup Mindset:\n\n- Startup mindset.\n\n- Independent execution.\n\n- Hands-on across architecture and delivery.\n\n- Ownership and accountability.\n\n- Customer-first.\n\n- Challenge assumptions.\n\n- Continuous learning.\n\n- Mentor others.\n\n- Help build the company.\n\nEducation:\n\n- Bachelor's or Master's in a relevant field.\n\n- Relevant cloud, data, or AI certifications are a plus.\n\nWhy Join Context66:\n\n- Build a modern Data, AI, and Enterprise Architecture company.\n\n- Work with experienced leaders.\n\n- Solve high-value problems.\n\n- Build AI and data platforms.\n\n- Influence technical strategy.\n\n- Grow into leadership.\n\n- We are looking for builders who combine architecture depth, engineering discipline, curiosity, and a strong commitment to customer outcomes.\n\nWhy Join Us:\n\n- Opportunity to lead enterprise-scale data transformation initiatives.\n\n- Work across diverse industries and complex data ecosystems.\n\n- Drive both architecture strategy and hands-on implementation.\n\n- High-impact, client-facing role with strong ownership.\n\nSkills\nData Modeling, Data Governance, Data Analytics, Artificial 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