Senior Data Platfrom Engineer
e-Hireo
- Location
- Bengaluru, Karnataka, India
- Job type
- Full-time
Required skills
- Python
- backend
- compliance
- data lake
- data science
- design patterns
- end-to-end
- Golang
- JVM
- Kafka
- multi-tenant
- Spark
About the role
e-Hireo
Website:
ehireo.com
Job details:
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
Click on Apply to know more.
This page is fully interactive when JavaScript is enabled. Please enable JavaScript to apply or browse related roles.
