डेटा विश्लेषक / बिजनेस एनालिस्ट इंटर्न

Microsoft Lead Data Architect

Location- Bangalore

Role Purpose

The Microsoft Lead Data Architect owns the end-to-end data architecture for the transformation programme. The role converts business, technical, security, and operational requirements into a scalable Microsoft Azure data-platform design, supported by an actionable HLD, LLD guidance, and migration blueprint.

Experience Profile

* 12–18 years of overall data and technology experience.

* Deep architecture expertise in Microsoft Azure, Azure Databricks, Microsoft Fabric, and modern data-lake or lakehouse platforms.

* Strong experience designing enterprise-scale ingestion, storage, transformation, analytics, governance, and ML/AI capabilities.

* Demonstrated ability to facilitate complex discovery and architecture workshops.

* Proven experience creating HLDs, reviewing LLDs, and designing large-scale data-migration strategies.

Key Responsibilities

* Plan, design, and facilitate discovery and data-architecture workshops with business and technical stakeholders.

* Lead an end-end programme covering:

o Data ingestion

o Data storage

o Data transformation

o Security and access management

o Azure platform foundations

o Analytics and reporting

o Machine learning and artificial intelligence

* Capture functional and non-functional requirements, constraints, dependencies, and design decisions.

* Produce the HLD for the target Microsoft data platform.

* Define the architecture standards and patterns that guide the development of LLDs.

* Review LLDs to confirm alignment with approved HLD decisions and resolve gaps or deviations.

* Design the target architecture across ingestion, storage, processing, orchestration, serving, governance, security, analytics, and ML/AI layers.

* Define appropriate usage patterns for Azure Databricks, Microsoft Fabric, Azure Data Lake, and related Microsoft services.

* Develop the migration blueprint, including migration patterns, sequencing, dependencies, reconciliation, cutover, and risk management.

* Work closely with data engineering, Purview, Power BI, security, infrastructure, analytics, and ML/AI teams.

* Present design recommendations to programme stakeholders and client architecture review boards.

* Support delivery teams during implementation by clarifying decisions and resolving architecture issues.

Key Deliverables

* Discovery and architecture workshop programme

* Workshop materials and documented outcomes

* Microsoft data-platform HLD

* LLD standards and review findings

* Target-state Azure data architecture

* Databricks, Fabric, and data-lake architecture patterns

* Ingestion, transformation, storage, security, and serving patterns

* Analytics and ML/AI enablement architecture

* Data migration blueprint

* Architecture decisions, assumptions, and dependencies

• इस फुल टाइम आईटी / सॉफ्टवेयर / डेटा एनालिसिस Job में आईटी / सॉफ्टवेयर / डेटा एनालिसिस में 6 - 6+ वर्षो का अनुभव वाले उम्मीदवारों की जरुरत है।