Data Architect

Job Description

Title: Senior Data Architect / Data Engineer
Location: Primary: Hyderabad, India. Other locations: Rest of India,
Employment Type: Full-time, Remote


We 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.

We believe AI does not scale on data alone. It scales on trusted context.

Context66 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.

Role Overview

• We are seeking an exceptional Senior Data Architect / Lead Data Engineer who combines deep architectural thinking with strong 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.
• You 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.
• Work closely with clients, enterprise architects, AI engineers, product teams, and delivery leaders.
• Help shape technical standards, delivery methodologies, reusable assets, and engineering culture.

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.
• Mentor engineers.
• Contribute hands-on to delivery.

Required Experience and Skills

• 1015+ years in data architecture/engineering.
• Strong architecture plus hands-on engineering.
• Enterprise-scale solution delivery.
• Deep data lifecycle expertise.
• 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.
• Excellent communication.
• Explain complex concepts clearly.

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.
• Enterprise AI integrations.
• AI-enabled data quality and lineage.

AI-Native Engineering Skills

• Claude Code, Cursor, GitHub Copilot, Windsurf, OpenAI, Gemini.
• Agentic frameworks.
• Model Context Protocol.
• AI-assisted engineering.
• Prompt engineering and workflow automation.
• AI with human validation and governance.

Leadership and Startup Mindset

• Startup mindset.
• Independent execution.
• Hands-on across architecture and delivery.
• Ownership and accountability.
• Customer-first.
• Challenge assumptions.
• Continuous learning.
• Mentor others.
• Help build the company.

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.
• Solve high-value problems.
• Build AI and data platforms.
• Influence technical strategy.
• Grow into leadership.

We are looking for builders who combine architecture depth, engineering discipline, curiosity, and a strong commitment to customer outcomes.

Why Join Us

• Opportunity to lead enterprise-scale data transformation initiatives
• Work across diverse industries and complex data ecosystems
• Drive both architecture strategy and hands-on implementation
• High-impact, client-facing role with strong ownership