Data Platform Leader for Large-Scale Scalability
3 days ago
We are looking to hire an experienced Engineering Manager at Razorpay, a leading fintech company, to drive the strategy and execution of complex data initiatives across the organization. As a key member of our team, you will lead a high-performing engineering team to build scalable, low-latency, and fault-tolerant systems.
The successful candidate will have 8+ years of professional experience in software/data engineering with at least 2+ years managing high-performing teams. They will be responsible for defining the strategy and roadmap for Razorpay's data platform, ensuring alignment with business goals.
Key Responsibilities:
- Lead with Vision: Define the strategy and roadmap for Razorpay's data platform, aligning it with business and technology objectives.
- 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.
Mandatory Qualifications:
Experience: At least 8 years of professional experience in software/data engineering with at least 2 years of team management experience.
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.
Estimated Salary: ₹35 lakhs per annum
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