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.