Job Description
Role Overview
nWe are looking for a Senior Data Architect / Lead Data Engineer who can both design and build up-to-date enterprise data solutions.
nThis is a hands-on architecture role. The ideal candidate can define architecture, model data, design pipelines, make technology decisions, troubleshoot production issues, and work directly with engineers and clients to deliver real solutions.
nThe primary focus is data architecture and data engineering . Experience with AI, RAG, semantic layers, knowledge graphs, or context engineering is highly preferred, but we are open to strong data professionals who are deeply curious and committed to becoming AI-native.
nKey Responsibilities
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- Design and build modern data platforms across warehouses, lakes, lakehouses, and cloud data platforms.n
- Develop scalable ingestion, transformation, orchestration, and consumption pipelines.n
- Design batch, micro-batch, CDC, API-based, and event-driven integration patterns.n
- Build canonical, logical, physical, and semantic data models.n
- Implement data quality, metadata,



lineage, governance, access control, and observability patterns.n
- Design governed data products with clear ownership, contracts, SLAs, and quality expectations.n
- Support analytics, reporting, machine learning, GenAI, and AI-agent use cases with trusted data foundations.n
- Work hands-on with SQL, Python, dbt, Snowflake, Databricks, Spark, AWS, Azure, or equivalent platforms.n
- Create reusable frameworks, templates, standards, and delivery accelerators.n
- Perform architecture reviews, code reviews, performance tuning, and technical troubleshooting.n
- Partner with clients and internal teams to translate business problems into scalable technical solutions.n
- Mentor engineers while remaining hands-on when needed.n

nMust-Have Experience
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- 8 to 15+ years of experience in data architecture, data engineering, integration, analytics, or cloud data platforms.n
- Strong hands-

📌 Senior Data Architect (Hyderabad)
🏢 Context66
📍 Hyderabad