# Principal Software Engineer, Data

**Company:** [Cloudflare](https://hotfix.jobs/companies/cloudflare)
**Location:** Austin, TX
**Role:** Data Engineering
**Experience:** 8+ years
**Skills:** Kubernetes, Trino, Apache Iceberg, Spark, Delta Lake, Apache Kafka, ClickHouse, Postgres, Go, Python, TypeScript, Rust, SQL, Apache Airflow, dbt
**Posted:** 2026-08-06

> Leads architecture and implementation for Cloudflare’s company-wide data infrastructure, including pipelines, data products, governance, and access services. Requires 8+ years building data infrastructure at scale, strong backend programming skills, and experience leading cross-functional technical initiatives.

## Job Description

## Responsibilities
- Define, design, and execute strategic technical architecture for highly visible, critical data infrastructure.
- Lead the design and development of tools and infrastructure to improve and scale data infrastructure.
- Lead the design and development of data pipelines and data products for teams across the company, including tools to automate service delivery.
- Become a subject matter expert in data platforms, tools, infrastructure, and data usage to guide stakeholders.
- Work across Kubernetes, Trino, Iceberg, ClickHouse, PostgreSQL, Go, JavaScript/TypeScript, Python, and related technologies.
- Mentor and support junior engineers while reinforcing exceptional delivery and accountability.

## Requirements
- 8+ years of experience as a software engineer focused on designing, building, and scaling data infrastructure.
- Experience leading technical initiatives cross-functionally, working with multiple stakeholders, and driving value delivery.
- Extensive experience with data infrastructure at scale, including Trino, Spark, Iceberg or Delta Lake, Kafka, ClickHouse, and PostgreSQL.
- Experience designing, building, and debugging data pipelines at scale.
- Proficiency with Go, Python, TypeScript, Rust, and SQL.
- Excellent analytical and communication skills, including the ability to explain technical concepts to technical and non-technical audiences.
- Experience creating and using agentic development workflows and an AI-first mentality.

## Nice-to-Haves
- Experience with Airflow, dbt, and data orchestration or infrastructure platforms.
- Experience deploying and managing infrastructure in Kubernetes.
- Experience with data governance platforms and processes, especially privacy and auditability.
- Knowledge of machine learning models and MLOps.

## Compensation and Benefits
- Applicants who reach the offer stage may be asked to attend an in-person interview at a Cloudflare office or hub.
- Offers may be conditioned on authorization to access technology controlled under U.S. export control laws.

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