Senior Director - Data Engineering and Analytics

Senior Director, Engineering

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.

Senior Director Engineering, Data & Analytics

About the Role 

At Razorpay, data is not a support function—it’s a core product enabler. 

We’re looking for a Senior Director – Data who can operate at the intersection of platform, product, and intelligence—someone who can build, scale, and own the entire data ecosystem across Data Engineering, Data Science, and Analytics. 

This is a hands-on leadership role where you’ll be expected to think like an architect, act like a builder, and lead like an owner. 

What You’ll Do 

Own the Data Vision 

• Define and drive a unified data strategy aligned with Razorpay’s product and business goals. 
• Build a roadmap that connects data platforms → ML capabilities → business outcomes. 
• Bring a strong POV on how AI/ML can unlock revenue, reduce risk, and improve customer experience. 

Build & Scale the Data Platform 

• Architect and scale a real-time, reliable, and self-serve data platform.
• Own the full data lifecycle:  Ingestion → Processing → Storage → Consumption
• Drive systems that are: Highly available, fault-tolerant, and low-latency
• Set the gold standard for: Data quality, governance, observability, and access 

Drive AI/ML as a First-Class Capability 

• Lead the development of production-grade ML systems, not just experiments. 
• Build solutions across: Fraud & risk, Personalization, Growth & optimization
• Champion strong MLOps practices to ensure models are scalable and reliable.
• Push the org from reporting → prediction → decisioning systems. 

Enable Data-Driven Culture 

• Build a best-in-class analytics function that powers decision-making across teams. ● Enable self-serve data for product, business, and ops teams. 
• Define and standardize north-star metrics and KPIs. 
• Drive a culture where every decision is backed by data, not intuition alone. Lead Like an Owner 
• Build and mentor a high-caliber team across DS, DE, and Analytics. ● Hire aggressively for talent density over headcount. 
• Operate with a high ownership mindset—you build it, you run it. 
• Create future leaders, not just strong individual contributors. 

Collaborate Deeply 

• Work closely with Product, Engineering, Risk, Finance, and Business teams. ● Translate ambiguous problems into structured data solutions. 
• Bring customer-first thinking into every data system built. 

Raise the Bar on Execution 

• Drive speed with quality—ship fast, iterate faster. 
• Set up strong mechanisms for: Incident management, RCA and reliability improvements
• Track impact through clear, outcome-driven metrics. 

What We’re Looking For 

Experience 

• 12–18 years across Data Engineering / Data Science / Analytics ● 5+ years leading large, high-performing teams 
• Proven experience in building data platforms and ML systems at scale

Technical Depth 

• Strong hands-on experience with: Big Data stack (Spark, Kafka, Hive, Presto), Cloud (AWS/GCP), Data Lakes, Warehouses , Real-time + batch systems 

• Solid grounding in: Machine Learning (end-to-end lifecycle), MLOps and production systems , Strong coding proficiency (Python + one more language) 

Mindset Fit (Important at Razorpay) 

Engineer at heart – you enjoy getting into architecture and systems  

Product-first thinker – you care about user impact, not just tech elegance    

Bias for action – speed matters, perfection can wait                                     

Comfort with ambiguity – you create structure where none exists 

Customer obsession – every system should solve a real problem 

Builder mentality – 0 → 1 and 1 → 10 excites you 

What Success Looks Like 

• A scalable, reliable data platform powering all Razorpay products 
• ML systems that directly impact revenue, risk, and growth 
• Org-wide adoption of self-serve, data-driven decision making 
• A high-performance data team that sets the benchmark internally

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.
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Experience Level

Senior Level