Senior Data Platfrom Engineer

e-Hireo; Bengaluru; On-site; INR 4,500,000 - 6,500,000; Full time

Job summary

e-Hireo in Bengaluru seeks a Senior Data Platform Engineer to architect and scale large-scale data platforms and backend services with a focus on high availability, security, and cost efficiency.

The role requires deep data lake/warehouse expertise, proficiency in Golang or Python, and a track record of leading multi-tenant data platforms at scale. You will influence cross-team architecture and drive platform-first initiatives.

Qualifications

• Deep expertise in modern data lake/warehouse and distributed data architectures.
• Hands-on with Trino/Presto, Iceberg/Delta Lake, Spark, Kafka.
• Proficient in Golang or Python.
• Experience building and scaling multi-tenant data platforms at scale.

Responsibilities

• Architect and drive large-scale distributed systems, data platforms, and backend services.
• Establish platform vision and evolve foundational frameworks for multi-tenant use.
• Lead end-to-end initiatives from concept to production rollout.
• Mentor engineers and raise the quality bar across teams.

Skills

Data lake/warehouse

Distributed architectures

Golang

Python

Multi-tenant platforms

Cost efficiency

Security & compliance

Observability

System internals

Mentoring senior engineers

Job description

Designation : Senior Data Platfrom Engineer

• 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