Data Architect

Packaged/SaaS Application Engineer

Project Role : Packaged/SaaS Application Engineer
Project Role Description : Configure and support packaged or SaaS applications to adapt features, manage releases, and ensure system stability. Use standard tools, APIs, and low-code platforms to align solutions with business needs while preserving compatibility and performance.
Must have skills : Microsoft Azure Databricks
Good to have skills : Data Governance
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As a Data Architect, a typical day involves defining the data requirements and designing the structure necessary for the application. This role includes modeling the data architecture, planning how data will be stored efficiently, and ensuring seamless integration across various components. The position requires a thoughtful approach to organizing data to support application functionality and performance, collaborating with different teams to align data strategies with project goals, and continuously refining data models to meet evolving needs.

Preprocessing, metadata tagging, pipelines, data integration, indexing support LLM integration, RAG, AI framework, agent orchestration, life UW logic, workflow design Data product modeling, dimensional modeling, schema design, entity-relationship modeling, data governance, metadata management, data dictionary development, data lineage

Blob Storage, Cosmos DB, Cognitive Search, Document Intelligence, Function App, Azure VM, Key Vault, Azure OpenAI, Azure AI Foundry, Cognitive Search, Document Intelligence, AKS (LangGraph), Azure SQL Database, Azure Data Catalog, Azure Data Factory


Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with cross-functional teams to ensure data architecture aligns with business objectives.
- Maintain and update documentation related to data models and integration processes.
- Assist junior team members by sharing knowledge and providing guidance on data architecture best practices.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Microsoft Azure Databricks.
- Good To Have Skills: Data Governance.
- Experience in designing scalable and efficient data storage solutions.
- Strong understanding of data integration techniques and tools.
- Ability to model complex data structures to support application requirements.
- Familiarity with cloud-based data platforms and their operational aspects.

Additional Information:
- The candidate should have minimum 3 years of experience in Microsoft Azure Databricks.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.