Job Title:

Data Architect/ Senior Data Architect - Pivot to Databricks Lakehouse & GenAI Architecture (100% Remote)

Role Category:

Data & Enterprise Architecture | Executive Engineering

Employment Type:

Full Time, Permanent

Work Location:

100% Fully Remote (India-wide)

Experience Level:

9 to 16 Years The Opportunity: Step Up to Modern Lakehouse & AI Architecture

Are you an enterprise-proven Data Architect or Solution Architect who has spent years designing complex data ecosystems on AWS, Azure, Snowflake, Synapse, or legacy Data Warehousesand now want to lead the shift to Databricks Lakehouse & GenAI Architecture?

At V4C.ai, we aren't just another IT vendor. We are a Databricks-funded partner company founded by the leadership team behind Apisero, scaling rapidly from 0 to 600+ engineers in under two years.

We are looking for seasoned architectural minds with deep system design and data modeling mastery. You don't need years of hands-on Databricks codingwe provide the ecosystem access, direct Databricks engineering backing, and Claude/GenAI enablement to turn your architecture expertise into next-generation Lakehouse leadership.

Why Senior Architects Choose V4C.ai

- Architectural Authority: Own end-to-end enterprise solutioning, multi-cloud strategy, and data modernization roadmaps for top-tier global enterprises.
- Direct Databricks Partner Ecosystem: Work with early-access Databricks features (Unity Catalog, Lakehouse AI,



Serverless Compute, Vector Search) with direct ecosystem backing.
- AI & GenAI Integration: Shape architectures that bridge traditional enterprise data modeling with modern LLM, RAG, and Databricks Genie AI agents.
- 100% Remote & Zero Red Tape: Executive-level autonomy in a high-growth scale-up environment, completely free from bureaucratic corporate friction.

What You Bring to the Table

- Mastery in System Design: Exceptional track record in end-to-end data architecture, multi-layer data modeling (Dimensional, Data Vault, Star Schema), and cloud platform design (AWS/Azure/GCP/Snowflake).
- High-Impact Solutioning: Proven ability to consult with C-suite stakeholders, evaluate trade-offs, design cost-optimized storage/compute strategies, and establish robust governance (Unity Catalog / Purview).
- Leadership Drive: A desire to mentor senior data engineers, drive technical benchmarks, and architect platforms that handle massive-scale data processing.
- Tech Stack: Strong foundation in SQL, Python, Cloud Storage, and Data Lakes. Exposure to Spark, Delta Lake, or Databricks is a plusa strategic architectural mindset is essential.

Quick-Track Your Profile Connect directly with our leadership team for a confidential, senior-level discussion:

- Email Direct: Send your CV to [email protected]
- LinkedIn InMail: Message directly at Ganesh Manoharan on LinkedIn

📌 Data Architect/ Sr Data Architect - Transition To Databricks Architect (Bengaluru)
🏢 V4c Info Systems
📍 Bengaluru