Senior Data Engineer at Razorpay… · Bengaluru

Razorpay is one of India’s leading full-stack financial technology companies, powering the way businesses move, manage, and grow money. Founded in 2014 by Harshil Mathur and Shashank Kumar with a simple vision - to simplify payments for Indian businesses - we’ve since grown into a fintech powerhouse driving India’s digital payment revolution. Razorpay powers millions of businesses with a smarter, scalable stack that goes beyond transactions to help them truly build and grow. From building AI-native agentic payments, to AI-assisted fraud detection and real-time risk intelligence to automated reconciliation, smart payouts, and predictive financial insights, we are embedding intelligence across our stack to make money movement faster, safer, and more efficient. In close collaboration with ecosystem partners - including banks, networks, regulators - we are pioneering industry-first solutions that are shaping the next era of fintech Across India, Singapore and Malaysia, our products span everything from seamless checkouts to payroll automation - powering a fintech ecosystem that’s redefining how money moves across Asia. Today, that ecosystem supports everyone from early-stage startups to some of India’s largest enterprises, enabling them to accept, process, and disburse payments at scale while expanding into new ways of managing money more efficiently. Our scale speaks volumes: Razorpay processes $180+ billion in annualized transactions, powering leading businesses like Airbnb, Facebook, WhatsApp, Airtel, CRED, BookmyShow, Zomato, Swiggy, Lenskart, Mirae Asset Capital markets, Indian Oil, National Pension Scheme - and over 100 of India’s unicorns. With strong roots in India and growing operations in Southeast Asia, we are shaping the next chapter of financial technology across the region. We are backed by global investors including GIC, Peak XV Partners (formerly Sequoia Capital India & SEA), Tiger Global, Ribbit Capital, Matrix Partners, MasterCard, and Salesforce Ventures, having raised over $740 million to date. Strategic acquisitions - including Ezetap (POS and offline payments), Curlec (Malaysia expansion), BillMe (digital invoicing), and POP (rewards-first UPI) - along with earlier moves in fraud prevention, payroll, and lending, have further strengthened our platform and widened our footprint across Asia. But what truly sets Razorpay apart is our culture. At Razorpay, ownership is our oxygen - you own what you build, with no micromanagement or red tape, just the runway to make your ideas fly. Learning is a lifestyle - if you’re curious, you’ll feel at home here. People > Pedigree - we hire for attitude, hustle, and hunger more than degrees. Transparency thrives over titles - this is where interns question CXOs and CXOs say “thank you.” Guided by our values of Customer First, Autonomy & Ownership, Agility with Integrity, Transparency, Challenging the status quo and a strong belief that Razorpay grows with Razors,  you’ll be part of a 3000+ strong team building not just products, but the financial infrastructure of the future. The Role: We are seeking a Senior Data Platform Engineer to join our dynamic and growing team, responsible for building, scaling, and optimizing our cloud-native data platform. You will design and implement scalable data pipelines that power business-critical analytics, real-time insights, and AI/ML solutions. As an experienced data architect and builder, you will have the opportunity to redefine our data infrastructure to enable the next generation of products and drive innovative data initiatives. Roles and Responsibilities: - Design, Develop & Deploy scalable Data Platform with real-time and batch processing solutions - Write highly scalable code by following best practices in concurrency, resource optimization, and fault tolerance. - Build and maintain the Infra with best IoC practices - Identify and implement internal process improvements, including automating manual tasks, optimizing data flow, and re-designing infrastructure for higher scalability and resilience. - Develop automated monitoring, alerting, and logging systems for pipelines to ensure reliability, uptime, and data quality. - Build and maintain data tools that enable analytics, BI, and data science teams to experiment and optimize their workflows. - Ensure end-to-end data governance by implementing policies for data quality, security, and compliance. - Optimize data models and architectures to power machine learning, reporting, and real-time analytics. - Collaborate closely with data scientists and product engineers to integrate ML models into production systems and improve system functionality. - Work with stakeholders across the organization to ensure alignment between data infrastructure and business needs. Mandatory Qualifications: - 4+ years of hands-on experience in Building and managing Large Scale Data Platforms. - Experience with Version control, CI/CD pipelines, Kubernetes, Docker, and IaC tools. - Strong Experience in Building and Maintaining Data Intensive APIs and Distributed Data Processing Systems - Strong programming skills in Scala, Golang, and optimizing SQL queries. - Experience with both relational SQL and NoSQL databases - Strong understanding of REST APIs, Microservices, event-driven architectures, and Stream processing frameworks. - Experience working in cross-functional, agile environments. - Open-source contributions or active participation in developer communities. - Prior experience in a product-based company is highly preferred. Razorpay believes in and follows an equal employment opportunity policy that doesn't discriminate on gender, religion, sexual orientation, colour, nationality, age, etc. We welcome interests and applications from all groups and communities across the globe. Follow us on LinkedIn & Twitter