Staff Software Engineer - Data Platform(Data Ingestion)

Harness•Mountain View, CA

1d•Remote

About The Position

We are building a unified data platform to serve 20+ product modules, enabling ingestion, processing, and retrieval of data to power analytics & systems at scale. This role is part of the Data Ingestion charter under the Unified Data Platform umbrella, focused on designing and developing an extremely high-scale ingestion platform with focus on data streaming, open table based data storage, and highly scalable transformation layer. This platform is the foundation to multiple experiences within Harness including dashboard, analytics, and product utilization. You will collaborate with principal engineers and architects on the design, architecture, and development of this platform. This will involve solving complex challenges related to data streaming, transformation, and managing extremely large-scale data storage. Collaborate closely with various product engineering teams, offering guidance to facilitate their onboarding onto the data platform. Author high level & low level design documents. Design and implement automation of infrastructure setup using helm, terraform and similar technologies. Work alongside Site Reliability Engineers and cross functional teams to diagnose/troubleshoot any production performance related issues

Requirements

Bachelor’s or Master’s degree in computer science
Minimum 7-12 years of hands-on experience in backend software development, primarily within the data platform domain and with a focus on distributed systems.
Hands on experience building ETL pipelines with technologies like SQLMesh, DBT, or Spark Structured Streaming
Hands-on experience with query engines like Trino
Deep exposure to OLAP stores like Pinot, Druid, Clickhouse, StarRocks, Snowflake, or Databricks
Working experience with open table architecture such as Iceberg, Delta Lake or Hudi.
Experience with data streaming technologies like Flink, Spark Streaming, Kafka Streams etc
Familiarity with OLTP datastores such as MongoDB, PostgreSQL
Experience scaling and operating production data systems at 10K+ QPS
Deep working experience with Java and Python

Responsibilities

Collaborate with principal engineers and architects on the design, architecture, and development of this platform.
Solve complex challenges related to data streaming, transformation, and managing extremely large-scale data storage.
Collaborate closely with various product engineering teams, offering guidance to facilitate their onboarding onto the data platform.
Author high level & low level design documents.
Design and implement automation of infrastructure setup using helm, terraform and similar technologies.
Work alongside Site Reliability Engineers and cross functional teams to diagnose/troubleshoot any production performance related issues