Technical Solution Lead

"Required Skills:
• Extensive experience (X years) in Azure cloud technologies, with a focus on data lake, databases, and migration strategy.
• Proficiency in Azure services such as Azure Data Lake Storage, Azure SQL Database, Azure Cosmos DB, and Azure Data Factory.
• Strong understanding of data integration, ETL processes, and data warehousing concepts.
• Experience designing and implementing migration strategies for on-premises data to Azure cloud platforms.
• Excellent problem-solving and analytical skills, with the ability to troubleshoot complex technical issues and drive resolution.
• Strong communication, leadership, and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.
• Azure certifications such as Azure Solutions Architect, Azure Data Engineer, or Azure Administrator are a plus.

Roles and responsibilities:

• **Technical Leadership**: Provide technical leadership and guidance to cross-functional teams in the design, implementation, and optimization of Azure-based data solutions, ensuring alignment with business objectives and best practices.
• **Azure Data Lake and Databases**: Architect, deploy, and manage Azure Data Lake storage solutions and databases (e.g., SQL Database, Cosmos DB), ensuring scalability, reliability, and performance optimization.
• **Migration Strategy**: Develop and execute comprehensive migration strategies for on-premises data assets to Azure, leveraging Azure services and tools to ensure smooth transition and minimal disruption to business operations.
• **Azure Data Factory (ADF) Expertise**: Design, implement, and maintain data pipelines and ETL processes using Azure Data Factory, orchestrating data workflows and transformations across disparate sources and targets.
• **Azure Database (ADB) Skills**: Configure, manage, and optimize Azure Database services, including Azure SQL Database, Azure SQL Managed Instance, and other relational and non-relational database offerings.
• **Performance Tuning and Optimization**: Identify performance bottlenecks and optimization opportunities within Azure data solutions, implementing tuning strategies and best practices to enhance system performance and efficiency.
• **Security and Compliance**: Ensure data security and compliance requirements are met across Azure data solutions, implementing appropriate security controls, encryption mechanisms, and auditing procedures.
• **Collaboration and Communication**: Collaborate closely with stakeholders, including business users, data engineers, and IT teams, to gather requirements, define solution architectures, and communicate project status and updates effectively. "