• Design and implement scalable data architecture on Azure and Databricks based on business and technical requirements. • Develop data integration solutions to ingest data from various structured/unstructured sources into Azure/Databricks, ensuring quality and consistency. • Choose and implement appropriate data storage solutions (ADLS, Synapse, Databricks Delta Lake) optimized for performance and cost. • Implement and optimize data processing pipelines using ADF, Databricks, Synapse, or other Azure-native services. • Plan, execute, and oversee data migration projects, including migrations from on-premises and other cloud environments to Azure. • Establish and enforce data governance and security policies, ensuring compliance with regulatory and industry standards. • Monitor and fine-tune data pipelines for performance, cost optimization, and scalability. • Create data models aligned to client solution requirements. • Prepare detailed architecture documents, solution blueprints, and provide training/knowledge transfer to team members. • Collaborate with cross-functional teams—data engineers, architects, analysts, SMEs—to ensure alignment with business needs. • Manage project scoping, planning, execution, risk tracking, and ensure on-time delivery of data initiatives. • Communicate effectively with non-technical stakeholders, explaining migration strategies, architectural decisions, and business benefits.