Senior Data Platform Engineer

Senior Platform Engineer

Experience: 6–8 Years Location: Pune - (WFO)

Employment Type: Full-Time

About the Role

We are looking for a Senior Platform Engineer to join our data/platform engineering team. This role is ideal for someone who has worked extensively on distributed systems , cloud-native architectures on AWS , and has hands-on experience building and optimizing large-scale data or platform pipelines. You will play a key role in designing, building, and scaling the infrastructure and tooling that powers our data platform.

We're open to candidates from either of the following skill backgrounds:

• Option A: Strong in Spark + AWS (Glue, Lambda, Airflow, S3)
• Option B: Strong in AWS (Glue, Lambda, Airflow, S3) + Go

Key Responsibilities

• Design, build, and maintain scalable, reliable, and high-performance data/platform infrastructure on AWS.
• Architect and optimize distributed data processing pipelines to handle large volumes of data efficiently.
• Own end-to-end orchestration workflows using Airflow , and manage serverless components via AWS Lambda and Glue .
• Work closely with data engineering and product teams to translate business requirements into robust technical solutions.
• Identify performance bottlenecks and drive optimization efforts across compute, storage, and orchestration layers.
• Ensure platform reliability, scalability, and cost-efficiency through sound architectural decisions.
• Contribute to code reviews, technical design discussions, and best practices for distributed systems.
• Troubleshoot and resolve production issues, ensuring high availability of platform services.
• Mentor junior engineers and contribute to raising the technical bar across the team.

Required Skills

Choose one of the two tracks below:

Option A

• Strong hands-on experience with Apache Spark (batch/streaming data processing)
• Solid working knowledge of AWS , including Glue, Lambda, Airflow, and S3

Option B

• Strong working knowledge of AWS , including Glue, Lambda, Airflow, and S3
• Proficiency in Go for building performant backend/platform services

Common Requirements (Both Tracks)

• 5–9 years of overall engineering experience, with significant exposure to distributed systems
• Proven experience in performance optimization — profiling, tuning, and scaling systems under load
• Strong understanding of cloud infrastructure, orchestration, and event-driven architectures
• Solid debugging and problem-solving skills in production environments
• Good understanding of data pipeline design, fault tolerance, and system reliability practices

Good to Have

• Experience with Infrastructure-as-Code tools (Terraform, CloudFormation)
• Exposure to monitoring/observability tools (CloudWatch, Datadog, Prometheus, etc.)
• Familiarity with CI/CD pipelines for data/platform deployments
• Prior experience in a high-growth or fast-paced product environment

What We're Looking For

Someone who thinks like a systems engineer — comfortable diving deep into performance issues, making sound architectural trade-offs, and building infrastructure that scales reliably. You should be equally comfortable writing code and reasoning about system design.

Interested candidates can apply directly or share their resume at [email protected]