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Manager, Software Engineer - India (Data Engineering) | Hyderabad, IN

1.00 to 10.00 Years   Hyderabad   20 Jul, 2026
Job LocationHyderabad
EducationNot Mentioned
SalaryNot Disclosed
IndustryBFSI
Functional AreaNot Mentioned
EmploymentTypeFull-time

Job Description

    Manager, Software Engineer - India (Data Engineering)If youre passionate about being part of a dynamic organization that enables a Fortune 100 company with nearly $70 billion in annual sales to drive innovation and adopt new technologies that deliver business results, then Nationwides Technology team could be the place for you! At Nationwide, on your side goes beyond just words. Our customers are at the center of everything we do and were looking for associates who are passionate about delivering extraordinary care. Job Description Summary If youre enthusiastic about delivering secure technology solutions to support a company providing extraordinary care to its customers, then Nationwide Technology is the place for you. Nationwides industry-leading technology workforce embraces an agile work environment and a collaborative culture to deliver outstanding solutions and results. If that sounds like something you aspire to, we want to hear from you! As a Software Engineering Manager, youll be responsible for a suite of in house or third-party applications. Youll lead teams of technology professionals to enable business outcomes and provide dependable customer-centric solutions and experiences. Job Description Job Summary If youre passionate about being part of a dynamic technology organization that enables a Fortune 100 company to drive innovation and adopt new technologies that deliver real business results, then Nationwides Technology team could be the place for you. Our customers are at the center of everything we do, and were looking for leaders who are passionate about delivering extraordinary care through secure, modern data engineering solutions. Nationwide Technology is seeking a Manager, Software Engineering (Data Engineering) to lead high-performing data engineering teams delivering secure, scalable, and reliable data products, pipelines, and platforms that enable critical analytics, AI/ML, and digital experiences. This role is responsible for building and operating production-grade data solutions that power key customer and associate outcomes. As a technical manager , you will spend most of your time leading and developing data engineers, while also providing hands-on technical direction-shaping data architectures, guiding design and code quality, and ensuring robust data engineering practices on cloud. You are accountable for delivery outcomes (data quality, reliability, security, and time-to-market) and for raising the engineering bar across the data engineering stack. Key Responsibilities (Leadership-Focused) Lead and grow the team - coach and develop data engineers through regular 1:1s, feedback, and career development, building an engaged, inclusive, high-performing team. Own delivery outcomes - ensure teams consistently meet commitments on data quality, reliability, security, and time-to-market for data pipelines, platforms, and products. Provide technical direction - guide architecture and design decisions across data pipelines, data models, and data platforms, ensuring solutions are robust, maintainable, and cloud-ready. Set engineering standards - define and enforce standards for data engineering design, coding, code review, testing, documentation, and operational readiness. Drive DevSecOps and data delivery practices - embed secure engineering, automated testing, data validation, and policy checks into CI/CD pipelines and data deployment workflows using Git-based tooling. Own cloud-based data delivery - ensure data solutions are designed and operated for cloud, leveraging managed data services, lakehouse patterns, and infrastructure-as-code where appropriate. Strengthen production operations - champion observability, performance, resiliency, incident management, and post-incident learning for data platforms and pipelines in production. Use metrics to improve - track and act on delivery, data quality, stability, and productivity metrics to refine ways of working and remove bottlenecks. Manage capacity and sourcing - plan and manage staffing, capacity, and workforce mix (associates and vendors/supplemental resources) to align with roadmap and demand. Partner across the ecosystem - work closely with product, architecture, analytics, security, infrastructure, and business stakeholders to align priorities, manage dependencies, and communicate risks and trade-offs clearly. Foster a culture of learning and experimentation - encourage engineers to grow skills in cloud, data platforms, and automation, and to share knowledge across teams. May perform other responsibilities as assigned. Reporting Relationships Reports to a Technology Director or Associate Vice President within Nationwide Technology. Leads a team of data engineers and related technology professionals and may provide direction to vendor or managed-service teams. Experience & Skills Leadership & Management 8 years of Manager, S

Keyskills :
AgileLeandata engineeringSnowflakePythonScalaJavaDevSecOpscloudnative data architectures

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