Description

· Lead end-to-end delivery of Data & Analytics modernization and cloud migration projects on the Azure platform. · Manage migration of legacy data platforms, ETL workloads, reporting solutions, and data warehouses to Azure Databricks and Azure Data Services. · Coordinate with business stakeholders, architects, data engineers, analysts, and cloud teams to define project scope, roadmap, timelines, and success criteria. · Drive Agile project execution, sprint planning, release management, and delivery governance. · Track project schedules, budgets, dependencies, risks, and issues, ensuring timely mitigation and escalation. · Oversee data migration, validation, reconciliation, testing, and production cutover activities. · Ensure adherence to data governance, security, compliance, and cloud architecture standards. · Monitor project KPIs, delivery metrics, and business outcomes, providing regular executive-level status updates. · Facilitate stakeholder communication, steering committee reviews, and cross-functional collaboration. · Support Azure Databricks adoption, performance optimization, and operational transition to support teams. · Manage vendor teams and offshore/onshore delivery resources to ensure quality and timely execution. · Identify opportunities for automation, modernization, and AI/ML enablement within the data ecosystem. · Drive continuous improvement and best practices across Data Engineering, Data Integration, Analytics, and Reporting platforms. Preferred Azure & Databricks Experience · Azure Databricks, Delta Lake, Unity Catalog · Azure Data Factory (ADF) · Azure Synapse Analytics · Azure Data Lake Storage (ADLS Gen2) · Data Migration & Modernization Programs · CI/CD, DevOps, Git Integration · Cloud Cost Optimization and Performance Management
 

Key Skills

Education

Any Gradute