Senior Engineer, Data Platform

Overview

Senior Data Platform Engineer responsible for building and operating data infrastructure supporting products, analytics, machine learning, and AI systems.

What you'll do

• Build and operate Lakehouse, Spark, and distributed data-processing systems.
• Improve platform workload performance, reliability, cost, and operational visibility.
• Develop data quality, governance, lineage, metadata, discoverability, security, and access-control capabilities.
• Evaluate compute, query, and real-time OLAP engines for production use.
• Improve deployment, observability, incident response, developer tooling, and platform operations.
• Partner with data scientists and engineers to improve platform usability.
• Mentor engineers and contribute improvements to Spark, Iceberg, and Airflow.

What you'll need

• 7+ years of software engineering experience.
• Strong experience with Python, Scala, Java, or another JVM language.
• Experience with Spark or another distributed data-processing framework.
• Experience building or operating production data, backend, or distributed systems.
• Familiarity with Lakehouse architecture, Apache Iceberg, data quality, governance, lineage, metadata, query engines, or real-time OLAP.
• Working knowledge of AWS services including EC2, S3, Athena, and IAM.
• Experience with production monitoring, alerting, deployment automation, and incident response.

Nice to have

• Experience with Kubernetes, Terraform, Airflow, Trino, ClickHouse, Starrocks, or Pinot.

Details

• Location: Bangalore, India.