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Job Title: Associate Director | Azure | Kolkata | Engineering | Data Modernization & Migration

Key Responsibilities

1. Architecture & Technical Leadership

Define and lead end-to-end data architecture and solution design using Microsoft Azure and Microsoft Fabric.
Design scalable, secure, high-performance, and cost-optimized data platforms.
Drive data platform modernization, migration, and transformation initiatives.
Establish architectural standards, design principles, reusable frameworks, and engineering best practices.
Evaluate emerging Microsoft data technologies and recommend appropriate solutions.

2. Azure & Microsoft Fabric Expertise

Provide technical leadership across Azure Data Factory, Azure Data Lake Storage, Azure Databricks, Azure Synapse Analytics, and Azure SQL.
Lead implementation of Microsoft Fabric components, including Lakehouse, Warehouse, OneLake, Data Factory pipelines, Real-Time Intelligence, and semantic models.
Design and optimize ETL/ELT pipelines, data integration frameworks, and enterprise data models.
Lead implementation of Power BI integration, Direct Lake, and analytics solutions.
Drive data governance, security, lineage, data quality, and access management practices.
Optimize platform performance, scalability, reliability, and cloud consumption costs.

3. Program & Delivery Management

Own end-to-end delivery of complex data engineering and cloud transformation programs.
Manage project plans, milestones, dependencies, risks, issues, and delivery commitments.
Ensure adherence to quality standards, architecture guidelines, and project governance.
Oversee migration planning, implementation, testing, deployment, and production readiness.
Drive continuous improvement, delivery automation, and operational excellence.

4. People & Stakeholder Management

Lead, mentor, and develop architects, technical leads, data engineers, and other technical professionals.
Manage resource planning, team utilization, capability development, and hiring requirements.
Engage with senior business stakeholders, enterprise architects, and technology leadership.
Translate business requirements into technical roadmaps and actionable delivery plans.
Support presales activities, solution proposals, effort estimation, and technical presentations.

12–15+ years of experience in data engineering, cloud data platforms, and enterprise data solutions.
Strong hands-on and architectural expertise in Microsoft Azure data services.
Proven experience designing and implementing Microsoft Fabric solutions in enterprise environments.
Strong knowledge of data warehousing, Lakehouse architecture, dimensional modeling, and distributed data processing.
Expertise in SQL, Python, PySpark, ETL/ELT development, and data integration patterns.
Experience with Azure Data Factory, Azure Data Lake Storage, Azure Databricks, and Power BI.
Strong understanding of data governance, security, monitoring, CI/CD, and DevOps practices.
Experience leading large technical teams and managing multiple delivery workstreams.
Excellent communication, stakeholder management, analytical, and problem-solving skills.

Microsoft certifications such as Azure Solutions Architect Expert, Fabric Analytics Engineer Associate, or Fabric Data Engineer Associate, where relevant.
Experience with enterprise cloud migration and legacy data warehouse modernization.
Knowledge of Microsoft Purview, Microsoft Entra ID, Git-based CI/CD, and infrastructure as code.
Experience in consulting, client-facing delivery, and large-scale transformation programs.
Experience in presales, proposal development, estimation, and solution governance.

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