Data Transformation Leader

17 hours ago

Pune, Maharashtra, India beBeeAzure Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

We are seeking a visionary leader to spearhead the execution of large-scale data transformation and AI initiatives on the Microsoft Azure platform.

Job Description:

The ideal candidate will bring deep expertise in Azure cloud services, data engineering, and AI/ML solutions, along with a proven track record in leading complex transformation programs. This role demands strong client engagement, delivery governance, and the ability to lead high-performing, cross-functional teams.

Main Responsibilities:

  • Lead end-to-end delivery of Azure-based data and AI programs, including legacy modernization and greenfield implementations.
  • Define and implement delivery governance, best practices, and agile methodologies for scalable Azure solutions.
  • Serve as the primary client interface, aligning delivery with strategic business goals and data-driven outcomes.
  • Provide thought leadership in Azure data architecture, AI/ML integration, and real-time analytics.
  • Build and mentor a world-class team of Azure architects, data scientists, engineers, and AI specialists.
  • Drive continuous learning and certification across Azure, AI, and data engineering domains.
  • Champion DevOps, CI/CD, and automation to accelerate delivery and improve quality.
  • Stay ahead of emerging trends in Azure, generative AI, and cloud-native data platforms.
  • Develop reusable frameworks, accelerators, and IP to enhance delivery efficiency and innovation.
  • Ensure compliance with data governance, security, and regulatory standards across all Azure solutions.
  • Optimize performance, cost, and resilience of Azure data and AI platforms.
Technical Expertise:
  • Azure Data Services - Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Azure SQL, Cosmos DB
  • Scenario-based architecture design
  • Azure OpenAI integration
  • Discuss ethical AI and responsible AI practices in Azure
  • Enterprise Architecture & Strategy
  • Cloud-native architecture principles
  • Data mesh, data fabric concepts
  • Review of past architecture artifacts or reference models
  • Strategic roadmap planning for data modernization
  • DevOps & CI/CD for Data & AI
  • Azure DevOps, GitHub Actions
  • Infrastructure as Code (ARM, Bicep, Terraform)
  • MLOps pipelines
  • Designing, data pipeline with CI/CD
  • Security, Compliance & Governance
  • Role-Based Access Control (RBAC)
  • Data encryption, masking, and classification
  • Regulatory frameworks (GDPR, HIPAA, etc.)
  • Design secure data architecture for a regulated industry
  • Project Management, Coordination, governance and closure of successful project delivery.
  • Managing escalations and customer interactions.
Qualifications:
  • Bachelor's degree in computer science, Engineering, or a related field (Master's or MBA preferred).
  • Experience in IT Services, experience in Azure and cloud-based data solutions.
Preferred Qualifications:
  • Proven track record in managing large-scale Azure programs, including legacy data migrations and new implementations.
  • Deep understanding of data engineering, ETL, and cloud-native architectures.
  • Strong expertise in Azure ecosystem, including Streams, Tasks, Data Sharing, and Performance Optimization.
  • Experience with cloud platforms (AWS, GCP).
  • Proficiency in SQL, Python, Spark, and modern data processing frameworks.
Certifications:
  • Certified Azure Solution Architect.
  • Cloud certifications (AWS Certified Data Analytics, Google Cloud Architect, or equivalent).
  • PMP, ITIL, or SAFe Agile certifications for delivery governance.

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