Key Responsibilities

- Lead the planning, design, and facilitation of discovery and data architecture workshops with business and technical stakeholders.

- Own the end-to-end architecture for the data platform programme, covering:

- Data ingestion and integration

- Data storage and management

- Data transformation and processing
- Security, identity, and access management

- Azure platform foundations
- Analytics, reporting, and visualization

- Machine Learning (ML) and Artificial Intelligence (AI)

- Elicit, analyze, and document functional and non-functional requirements, technical constraints, dependencies, assumptions, and key architectural decisions.

- Develop the
High-Level Design (HLD)

for the target Microsoft data platform and ensure alignment with business and technology objectives.

- Establish architecture standards, principles, patterns, and best practices to provide transparent guidance for Low-Level Design (LLD) development.

- Review and govern LLDs to ensure alignment with the approved HLD, identifying and resolving design gaps, risks, and deviations.

- Define the target-state architecture across data ingestion, storage, processing, orchestration, serving, governance, security, analytics,



and ML/AI layers.

- Define appropriate architecture and usage patterns for

Azure Databricks, Microsoft Fabric, Azure Data Lake

, and other relevant Microsoft Azure services.

- Develop the data migration strategy and blueprint

, including migration patterns, sequencing, dependencies, reconciliation, cutover planning, rollback considerations, and risk mitigation.

- Collaborate closely with cross-functional teams, including

Data Engineering, Microsoft Purview, Power BI, Security, Infrastructure, Analytics, and ML/AI teams, to ensure an integrated and scalable architecture.

- Present architecture strategies, design recommendations, trade-offs, and key decisions to programme stakeholders, client leadership, and architecture review boards.

- Provide ongoing architectural guidance to delivery teams throughout implementation, clarifying design decisions and resolving technical and architectural issues.

- Identify architectural risks, dependencies, and opportunities for optimization, ensuring the platform is scalable, secure, governed, and aligned with Microsoft best practices.

📌 Microsoft Lead Data Architect (Bengaluru)
🏢 Rock Interview ( We are Changing shortly)
📍 Bengaluru