Senior Data Platfrom Engineer
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Job Description
JOB DESCRIPTION
Experience : 3 - 8 Yrs
Location : Bengaluru
Designation : Senior Data Platfrom Engineer
Job description
- 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 — enforcing 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 and raising the quality bar
- Make deep technical trade-offs explicit — connecting system internals, architectural decisions, and platform costs
- 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
- Drive innovation by identifying gaps, proposing bold solutions, and creating reusable building blocks
- Demonstrate thought leadership by anticipating scale challenges and ensuring security/compliance
Must Haves
- Deep expertise in modern data lake/warehouse and distributed data architectures — hands-on with Trino, Presto, Iceberg/Delta Lake, Spark, Kafka, and large-scale storage/compute separation
- Coding proficiency in Golang or Python
- Proven track record building and scaling multi-tenant data platforms, with awareness of cost efficiency, security, compliance, and operational excellence
- Architectural intuition at scale — evaluating trade-offs between performance, latency, fault-tolerance, extensibility, and cost
- Strong system internals knowledge (compilers, query engines, storage formats, distributed consensus, networking, JVM internals, or equivalent)
- Hands-on leadership — mentoring senior engineers and driving adoption of engineering best practices
More Info
Key Skills
query engines
distributed consensus
large-scale storage compute separation
JVM internals
compilers
storage formats
code quality instrumentation
Iceberg
distributed data architectures
Trino
Delta Lake
system internals knowledge
cloud-native development
