A Naukri Group company
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A Naukri Group companyLogin చేయండిHire Local Staff
10,000 - 50,000 /నెల
Hydronest India
1వ బ్లాక్ కోరమంగళ, బెంగళూరు
ఐటి / సాఫ్ట్వేర్ / డేటా విశ్లేషక లో 6 - 6+ ఏళ్లు అనుభవం
ఫుల్ టైమ్
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
