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.

Engineering Manager - Data Platform
Location: Bangalore
The Role: We are looking for an experienced manager to own the strategy and execution of complex data initiatives across the organization. In this role, you will drive the architecture and roadmap of large-scale data platforms, ensuring alignment with business goals. As an Engineering leader you will lead a team of high-performing engineers to build scalable, low-latency, and fault-tolerant systems. Your team will power advanced analytics, AI/ML, and decision-making across the organization. You will play a critical role in shaping Razorpay’s data architecture, fostering a high-performance culture, and delivering solutions that support millions of users and businesses

Roles and Responsibilities:
● Lead with Vision: Deﬁne the strategy and roadmap for Razorpay’s data platform, ensuring it aligns with business and technology goals.
● Team Leadership: Build, mentor, and grow a high-performing engineering team by fostering a collaborative, open, and learning-oriented culture.
● Architect Scalable Systems: Design and implement fault-tolerant, high-availability distributed systems for data ingestion, processing, and analytics.
● Collaboration: Work closely with product, business, and data science teams to identify requirements, set priorities, and build solutions that matter.
● Hands-On Contribution: Step into coding when needed to solve complex problems or provide architectural guidance.
● Operational Excellence: Establish and advocate for best practices in software development, deployment, monitoring, and incident management.
● Foster Innovation: Drive initiatives to adopt new technologies and continuously improve

Razorpay’s data platform capabilities.
● Ownership: Take end-to-end ownership of projects, ensuring quality, scalability, and timely delivery.

Mandatory Qualiﬁcation:

Experience: 8+ years of professional experience in software/data engineering, with at least 2+ years managing high-performing teams.

Technical Expertise:
● Proﬁciency in building and operating large-scale distributed systems.
● Familiarity with ETL and Analytical Platform and event-driven architectures.
● Expertise in Python, Scala, Golang, and SQL, with deep knowledge of distributed data systems.
● Proven ability to design real-time and batch pipelines using Kafka, Spark, Airﬂow, and Flink.
● Extensive experience working with cloud platforms (AWS, GCP, Azure) and tools like Terraform, Kubernetes, and Docker.
● Strong knowledge of MLOps frameworks (MLﬂow, TFX) and data governance tools (DataHub, Amundsen).
Leadership Skills:
● Proven ability to inspire and lead teams while fostering a culture of accountability and excellence.
● Exceptional leadership skills with a proven ability to mentor engineers, lead projects, and work cross-functionally.
● Experience in performance management, hiring, mentoring, and coaching engineers.
● Strong collaboration skills with cross-functional teams and stakeholders.

Soft Skills: Exceptional communication, decision-making, and problem-solving abilities.
Nice-to-Have: Experience with AI/ML platforms, ﬁnancial systems data platforms.

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.

Razorpay

Engineering Manager - Data Platform

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