Job Title: Data Architect (Azure Data Platform / Microsoft Fabric / SQL / NoSQL DB)
Location: India (Remote)
Experience: 8+ Years

Role Overview
Integrella is seeking an experienced Data Architect to design and govern modern, enterprise-scale data platforms for finance, accounting and multiple domains. This role requires deep expertise across the Microsoft Azure data stack and Microsoft Fabric, with a focus on building well-modelled, well-governed, and audit-ready data foundations for financial and regulatory use cases.
You will define enterprise data architecture, data lake and data warehouse design, and establish governance, master data, and BI standards that turn complex ERP, Payroll and financial data into trusted, decision-ready assets for global clients.

Key Responsibilities
Define and own the enterprise data architecture strategy, standards, principles, and technology roadmap across multiple business domains.
Architect scalable, secure, and cloud-native data platforms supporting operational reporting, advanced analytics, AI, and machine learning workloads.




Design and oversee enterprise Data Lake, Lakehouse, and Data Warehouse solutions using Azure Data Factory, Azure Data Lake Storage (ADLS Gen2), Azure Databricks, Microsoft Fabric, Synapse Analytics, or equivalent cloud data platforms.
Lead the adoption and architecture of Microsoft Fabric, including One Lake, Lakehouse, Data Warehouse, Data Pipelines, Direct Lake, Real-Time Intelligence, and Semantic Models.
Define data ingestion strategies supporting batch, streaming, event-driven, and real-time data integration using Azure Event Hubs, Service Bus, Kafka, and contemporary messaging platforms.
Design and implement modern data architectures, including Medallion (Bronze, Silver, Gold), Delta Lake, Data Vault 2.0, dimensional modelling, and canonical data models.
Establish enterprise metadata management, data governance, lineage, classification, and data cataloguing using Microsoft Purview or equivalent governance

📌 Data Architect (India)
🏢 Integrella
📍 India