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# Principal Data Platform Engineer

- **Company:** Harnham Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $230,000 - $280,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Computing Platforms, Microsoft Azure, Cloud Engineering, Information Engineering, Data Infrastructure, Data Systems, Fault Tolerance, Cloud Services, Azure Machine Learning, Data Streaming, Snowflake, Build Management, Low Latency, Apache Kafka, Vertica
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25304_49c3696cee4ed0a6ffed6b609e4e6b3d

## About the Role

* 8+ years of experience in data engineering or platform architecture
 * 5+ years at the Principal Engineer level or equivalent
 * Deep expertise with Kafka (and its ecosystem), streaming data systems
 * Strong experience with ClickHouse, Iceberg, Snowflake, or similar tools
 * Cloud-native architecture expertise (AWS, GCP, or Azure)
 * Track record of designing data systems for compliance and governance
 * Experience scaling systems to support petabyte-level workloads
 * Excellent communication, collaboration, and leadership skills
 * Bonus: Experience enabling AI/ML platforms or preparing for IPO-scale growth

## Description

A high-growth, product-led tech company is looking for a Principal Data Platform Engineer to lead the buildout of a modern, scalable data platform from the ground up. If you're excited about solving massive data challenges and shaping the infrastructure that supports real-time analytics and AI/ML at scale, this role is for you.

As the most senior technical IC on the Data Platform team, you'll partner with leadership across Engineering, Product, Security, and Compliance to design a low-latency, cloud-native data architecture using best-in-class tools like Kafka, Iceberg, ClickHouse, Tinybird, and Snowflake.

Why this role?

 * Join a growing Data Platform team
 * Own the technical vision and architecture end-to-end
 * Tackle petabyte-scale data challenges and real-time streaming use cases
 * Work with a cutting-edge tech stack (Kafka, Iceberg, ClickHouse, Snowflake, etc.)
 * Drive platform evolution to support AI/ML and company-wide analytics

What You'll Do

 * Design and build a next-gen data platform to power product and internal use cases
 * Architect for batch + streaming, scalability, fault tolerance, and low latency
 * Lead data modeling, warehousing, governance, and ingestion best practices
 * Champion engineering excellence and mentor senior engineers
 * Align technical decisions with long-term business strategy
 * Optimize for performance, cost, and resiliency in a modern cloud environment