Data Architect
Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration.
Must have skills : Databricks Unified Data Analytics Platform
Good to have skills : Data Governance
Minimum 7.5 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 scalability, while collaborating with different stakeholders to align data strategies with project goals.
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 be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead the development and implementation of data architecture standards and best practices.
- Facilitate communication between technical teams and business units to ensure data requirements are met effectively.
- Mentor junior team members to support their professional growth and enhance team capabilities.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.
- Good To Have Skills: Experience with Data Governance.
- Strong knowledge of data modeling techniques and database design principles.
- Experience in designing scalable data storage solutions and data integration strategies.
- Ability to work with cloud-based data platforms and manage large datasets efficiently.
- Familiarity with data security and compliance considerations in data architecture.
Additional Information:
- The candidate should have minimum 7.5 years of experience in Databricks Unified Data Analytics Platform.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
Bengaluru
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