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Data Architect - Artificial Intelligence

Enable Data Technologies
12 - 18 Years
Multiple Locations

Posted on: 10/09/2026

Job Description

Total Experience : 12-18 Years

Notice Period : Immediate Joiner

Location : Bengaluru (Hybrid/remote)

Solution Architecture/Data Architecture :

- Change Source code to accommodate for various architectural considerations e.g.: Moving MSAL based authentication to JWT based authentication to Databricks X-forwarded headers while using Apps.

- Sit through Technical reviews for configuring necessary Azure resources for deploying the application.

- Prepare Technical/Network Architecture Documentation and send it reviews and approvals for cloud and security teams before going live.

Databricks :

- Design and build pipelines for ingesting data into Databricks from various sources like SAP, website scraping. Core technical skill will be PySpark and PySQL.

- Write and do scenario-based testing, edge cases and discuss with the stake holders to finalize the necessary code changes and acceptance criteria.

- Understanding of the Databricks Unity Catalog permissions model and how to use OBO tokens and configure Service Principals for Databricks Agents, Genie Spaces, Machine Learning and Foundation Models.

- Knowledge of Databricks Apps. Ability to build and Deploy Databricks Apps using Visual Studio Code.

- Sending custom notifications from Databricks using APIs to custom Team Channel Webhooks.

AI :

- Ability to use FastAPI/React front end and build minimal Single Page Applications (SPAs) using Chat UI interfaces and Claude Models/APIs.

- Ability to use defined System Prompts, User Prompts etc. (i.e.) skills in prompt engineering.

- Basic Knowledge of Token Economics and ability use rule enforcement in prompts in addition to standard NLP language.

- Ability to reengineer code and see what it does and map it to the requirement specifications from users.

- Ability to use Graphs to detect inter dependencies between rules and circular references.

- Ability to use both Claude Vision API in addition to standard text processing.

- Understand and develop Retrieval Augmented Generation specifically to Databricks like AI Search indexes, Hierarchical Chunking etc.

- Know how to implement basic guard rails related to AI safety.

- Understand various caching mechanisms.

Tools :

- Ability to work with Claude Code and Genie.

Full Stack Development :

- Ability to understand how a full stack works frontend, backend, middle ware data layers, routes etc. and troubleshoot issues if any.

- Correct and rewrite code if any related to security findings in addition to standard development.

- Ability to Document code through various techniques like TDD, FDD, DFD and SDs.

DevOps :

- Create and Automate deployment pipelines (CI/CD) for Teams Bot Deployment, Web Application Deployments, Databricks Bundle/notebook Deployments through ADO.

- Add various validation steps like SnykScans, Linting.

- Configuring various environments based on CI/CD pipelines.

The job is for:

May work from home
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