Solution Architect / Partner Solution Architect

Function: Auraa Engineering • Level: Senior individual contributor • Product: Auraa by Covasant, built on Databricks

Shape Auraa deals with enterprise customers, build trusted technical relationships with Databricks field teams, and design the one-week Proofs of Value that prove our platform.

Building the foundation for enterprise AI

Covasant is an AI native company building autonomous, agent driven systems for the modern data and AI stack. Auraa, our agentic data activation platform, builds governed lakehouses on Databricks, giving data and AI leaders the capacity to move from infrastructure to AI outcomes, faster.

We are ISO/IEC 42001 certified, and Google Cloud selected us as one of seven AI-native partners worldwide for its Gemini Enterprise Transformation program. Our customers include financial services firms, insurers, manufacturers and retailers.

The fastest path to AI-ready data on Databricks

We launched Auraa at Databricks Data + AI Summit 2026. It is our agentic data activation platform, built natively on Databricks. Customers describe what they need in plain language, and Auraa's agents discover sources, build pipelines, enforce data quality and register everything in Unity Catalog.

Auraa runs on governed, versioned metadata rather than generated code, so every decision is auditable and every result reproducible. We take it to market together with Databricks.

Trusted by customers, trusted by Databricks

You own the technical side of the Auraa deals you work on. For customers, that means an honest view of fit, a demo on their own data and an estimate you stand behind. For Databricks field teams, it means knowing when to bring us in and how to explain what Auraa does.





Every deal is proven through a one-week Proof of Value (PoV) on the customer's live data. You design it, and delivery team runs the build with you.

What you will do with customers

- Run discovery. Map the customer's Databricks estate, source systems, identity and security posture, and the AI use cases they care about.
- Design the target architecture that builds on the customer's existing Databricks investment.
- Design the PoV. Agree scope, out-of-scope items and written success criteria before the week starts, so it ends in a clear decision.
- Size what comes next. Turn PoV results into a phase two proposal with an estimate delivery can execute.
- Support the buying process. Architecture documents, security questionnaires and references for the CIO, CISO and procurement.

What you will do with Databricks
- Develop technical champions among Databricks account executives, solution architects and partner managers in your territory.
- Co-sell on live deals, joining Databricks account teams on discovery and account planning.
- Enable the field with short technical sessions, a demo they can run themselves and one-page reference architectures.
- Represent Auraa at Databricks events such as Data + AI Summit and in joint webinars, and keep our Marketplace listing and partner validations current.

What you bring
- 8 to 14 years in technical roles, with at least 3 as a pre-sales,



solution or consultant architect on data platform deals.
- Hands-on Databricks. Unity Catalog, Lakeflow, SQL Warehouses, MLflow, Mosaic AI and Genie, deep enough to build in a customer workspace yourself.
- Data platform fundamentals. Medallion architecture, CDC, governance and data quality.
- Agentic AI experience, with a realistic sense of what it takes to put agents into production.
- Estimating discipline. Estimates you can defend, with assumptions written down.
- Partner fluency. A co-sell track record with Databricks, a hyperscaler or a major ISV, and comfort with MEDDIC and forecast stages.
- Clear communication with executives and engineers, in robust written and spoken English.

What will stand out
- Field or partner experience at Databricks, a Databricks partner SI or a hyperscaler.
- Industry depth in financial services, retail or manufacturing, or regulated environments (SOC 2, GDPR, India DPDP).
- Experience with fixed-bid, outcome-based or marketplace commercial models.
- Databricks and cloud architect certifications (Google Cloud, Azure or AWS).

How we hire Each stage reflects a real part of the role.
1. Deal conversation. Walk us through a data platform deal you shaped and what happened in delivery.
2. Discovery role-play. Run the first 30 minutes of discovery with a customer's head of data.
3. Build exercise. Build a working slice on a sample dataset and explain your choices.
4. Partner scenario. A Databricks AE wants a fast yes near quarter end. Tell us how you handle it.

With your application, share a deal where your architecture made the difference. Covasant is an equal opportunity employer. We hire on capability and judgment.

📌 Solution Architect / Partner Solution Architect (Hyderabad)
🏢 Covasant Technologies
📍 Hyderabad