Data Lead

A Bit About The Role: • Lead the technical aspects of a large-scale strategic data migration project. • Oversee the end-to-end migration process, ensuring successful execution, quality, and alignment with business objectives. • Serve as the team's professional and technical authority, providing guidance and support to a dedicated team. • Establish working methodologies, best practices, and quality standards while supporting the team in resolving complex challenges. • Maintain a hands-on approach, combining technical expertise with broad architectural and business understanding. • Collaborate closely with architects, technical teams, and business stakeholders to ensure effective coordination and successful project delivery. • Drive innovation and promote the practical adoption of AI tools to improve team efficiency and delivery quality. What We're Looking For? • 7+ years of experience in systems analysis, including extensive hands-on DWH/ETL development and implementation. • Proven experience providing technical leadership, guiding teams, establishing methodologies, and maintaining technical standards. • Strong end-to-end understanding of complex data architectures, cross-system dependencies, and business processes. • Hands-on experience in technical analysis, reverse engineering of undocumented business logic, testing, troubleshooting, and independent technical problem-solving. • Practical experience using AI tools for technical analysis, coding, and testing, alongside strong documentation skills. • Familiarity with cloud technologies such as Snowflake, Databricks, Azure, AWS, or GCP. • Hands-on experience in large-scale data migration or system conversion projects, including on-premise-to-cloud migrations, ETL platform migrations, parallel runs, and reconciliation – Significant advantage. • Experience in banking or financial organizations – Advantage.