Kreditbee - Lead Data Platform Engineer

Overview

The Data Platform Team at Kreditbee is instrumental in enabling data-driven decision-making across the organization. We build and manage the core infrastructure and tools required to collect, store, process, and analyze data at scale.

Our systems ensure every data point is refreshed in under 5 minutes for batch and available within milliseconds for streaming use cases to surface insights. We enable teams across Lending, Insurance, Investments, and Payments to self-serve analytics and machine learning workflows with high confidence in data quality, timeliness, and availability.

About The Role

As a Lead in the Data Platform team, you'll play a critical role in building large-scale backend services and distributed data systems that power KreditBee's business operations and intelligence. You'll work on high-throughput, low-latency infrastructure that processes billions of events and transactions with high reliability. You'll collaborate closely with senior engineers to deliver well-architected components and services that are observable, resilient, and scale efficiently under real-world workloads.

What We Expect From You

• Architect and drive large-scale distributed systems, data platforms, and backend services that are highly available, cost-efficient, secure, and extensible
• Establish platform vision and evolve foundational frameworks with multi-tenant, self-serve, and platform-first thinking
• Design for scale and resilience enforce principles of clean architecture, observability, fault-tolerance, extensibility, and performance
• Lead end-to-end initiatives from problem definition to production rollout, balancing business impact with long-term technical sustainability
• Mentor and grow engineers (including Senior Engineers), setting technical direction, raising the quality bar, and fostering a strong engineering culture
• Make deep technical trade-offs explicit - connect system internals, architectural decisions, and platform costs with clarity
• Champion best practices in code quality, instrumentation, design patterns, and cloud-native development
• Influence cross-team architecture by partnering with product, infra, and data science to align long- term technical strategy with company goals
• Drive innovation by identifying gaps, proposing bold solutions, and creating reusable building blocks that accelerate multiple teams
• Demonstrate thought leadership by anticipating scale challenges, ensuring security /compliance, and contributing to future-readiness of the platform
• Typically requires 8+ years of strong software engineering experience, including proven architectural leadership in large-scale systems
  
  

• Deep expertise in modern data lake/warehouse and distributed data architectures, with hands-on proficiency in Trino, Iceberg, Spark, Kakfa, Trino, Presto, Iceberg/Delta Lake, and large-scale storage/compute separation.
• Coding proficiency in golang or python.
• Proven track record of building and scaling multi-tenant data platforms, with awareness of cost efficiency, security, compliance, and operational excellence
• Architectural intuition at scale - capable of evaluating trade-offs between performance, latency, fault- tolerance, extensibility, and cost, and making decisions that stand the test of time
• Strong system internals knowledge (compilers, query engines, storage formats, distributed consensus, networking, JVM internals, or equivalent) and ability to explain them with clarity
• Hands-on leadership ability to mentor senior engineers, drive adoption of engineering best practices, and raise the bar for architectural and operational excellence
  
  

This job description is intended to outline the general nature and key responsibilities of the position. It is not intended to be an exhaustive list of all duties, responsibilities, or qualifications associated with the role. The responsibilities and qualifications described may be subject to change, and other duties may be assigned as needed. Employment is at-will, meaning the employee or the employer may terminate the employment relationship at any time, with or without cause, and with or without notice.

Data Utilization Disclaimer

By applying for this position, you acknowledge and agree that any personal data you provide may be used for recruitment and employment purposes. The data collected will be stored and processed in accordance with our privacy policy and applicable data protection laws. Your information will only be shared with relevant internal stakeholders and will not be disclosed to third parties without your consent, unless required by law.

(ref:hirist.tech)