Data Architect
First seen by Alion on Sep 10, 2026.
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.
Skills
Data Architect, Azure Databricks, PySpark, Machine Learning, Artificial Intelligence, Full Stack, React.js, AngularJS, Single Page Application, DevOps, NLP