Principal Software Engineer - Data Platform Job at Harnham, San Mateo, CA

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  • Harnham
  • San Mateo, CA

Job Description

Principal Software Engineer – Data Platform

Location: San Francisco, CA (Remote OK – US only)

Comp: $230K–$280K base + equity

About the Role:

We're looking for a Principal Software Engineer to help lead the development of a modern, scalable data platform from the ground up at a fast-growing, product-driven tech company. This is a high-impact role where you'd be the most senior individual contributor on the Data Platform team, helping to define the technical vision and build infrastructure that supports real-time analytics, machine learning, and large-scale data processing.

You’ll be working closely with Engineering, Product, Security, and Compliance leadership to design a cloud-native data architecture using tools like Kafka, Iceberg, ClickHouse, Tinybird, and Snowflake. If building at scale, tackling complex streaming + batch challenges, and driving long-term architecture sounds exciting to you—this might be the right fit.

What Makes This Opportunity Stand Out:

  • Be a core part of a growing Data Platform team
  • Own architecture and technical vision from end to end
  • Work on real-time and petabyte-scale data problems
  • Use a modern data stack (Kafka, Iceberg, ClickHouse, Snowflake, etc.)
  • Help shape the platform that will power AI/ML and analytics across the company

What You’ll Be Doing:

  • Architect and build the company’s next-gen data platform from scratch
  • Design for scalability, low latency, streaming + batch, and fault tolerance
  • Lead decisions around data modeling, governance, ingestion, and warehousing
  • Set engineering best practices and mentor other senior engineers
  • Ensure platform design aligns with long-term product and business strategy
  • Optimize the stack for performance, cost, and reliability in the cloud

What You Bring:

  • 8+ years in data engineering or platform infrastructure roles
  • At least 5 years operating at a Principal-level or equivalent
  • Deep experience with Kafka and real-time data pipelines
  • Solid hands-on work with ClickHouse, Iceberg, Snowflake, or similar tools
  • Strong understanding of cloud-native architectures (AWS, GCP, or Azure)
  • Experience building systems with compliance, governance, and scale in mind
  • Proven ability to support petabyte-scale data environments
  • Great communication skills and a collaborative approach
  • Bonus: Experience with AI/ML infrastructure or preparing for IPO-level growth

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