Sr Manager, Data Engineering

Sr Manager, Data Engineering Department: Engineering Team: Data Location: Hyderabad, India Type: Full-Time **About the Role** As an **Engineering Manager on the FinTech Data & ML Systems team**, you will: 1. **Lead a high-performing team** of 25+ data engineers and platform specialists in designing, implementing, and scaling data and ML solutions that power analytics, decision-making, and automation across FinTech. 2. **Drive the architecture and delivery** of robust data pipelines, feature stores, and data platforms that enable machine learning and advanced analytics use cases. 3. **Collaborate closely** with product managers, data scientists, and ML engineers to define and deliver reliable data and model workflows that support critical FinTech applications. 4. **Provide technical leadership** in data architecture, ETL design, model training pipelines, and productionization of ML workflows. 5. **Identify opportunities** to use data and ML to solve key business challenges, improve efficiency, and unlock new capabilities across payments, compliance, and financial systems. 6. **Promote a culture of technical excellence**, encouraging best practices in system design, testing, observability, and maintainability across both data and ML domains. 7. **Mentor and develop engineers**, fostering a collaborative, inclusive, and high-performance culture where teams can experiment, learn, and grow. 8. **Ensure reliability and scalability** of FinTech data and ML systems through strong engineering discipline and well-defined operational practices. \-\-\-\- What the Candidate Will Do ---- 1. **Lead a high-performing team** of 25+ data engineers and platform specialists in designing, implementing, and scaling data and ML solutions that power analytics, decision-making, and automation across FinTech. 2. **Drive the architecture and delivery** of robust data pipelines, feature stores, and data platforms that enable machine learning and advanced analytics use cases. 3. **Collaborate closely** with product managers, data scientists, and ML engineers to define and deliver reliable data a