Principal Distributed Systems Engineer

Summary

Join fabric, a next-generation commerce platform revolutionizing the industry, as a Principal Distributed Systems Engineer. You will play a key role in designing and scaling the data platform powering fabric's Agentic AI platform. This position requires collaboration with product managers and SDEs to launch data-intensive features and products, ensuring data governance, security, and high availability. You will also mentor and influence engineering teams, setting the bar for technical excellence. The role offers a competitive compensation package, including a base salary between $170K and $215K, performance bonuses, equity options, and comprehensive benefits. Fabric is an equal opportunity employer.

Requirements

• 10+ years of hands-on experience building distributed data systems, backend services and core infrastructure in high-growth or startup environments
• Proven ability to build data infrastructure from the ground up (0→1) and scale systems to support complex, high-throughput workloads across across OLTP, OLAP and AI/ ML use cases
• Deep expertise in modern data architectures including ETL/ELT pipelines, Data Lakes, Warehouses, Catalogs, and Real-time Streaming
• Cloud-native experience (AWS), including services like S3, Redshift, Glue, SageMaker, and Bedrock
• Track record of shipping production-grade data products that drive business or product impact
• Strategic mindset with the ability to influence technical direction, guide engineering best practices, and align data work to business outcomes
• Strong collaborator with a bias for action—equally comfortable architecting, coding, and debugging alongside engineers as advising leadership on platform evolution

Responsibilities

• Design & Build: Architect a modern, scalable, and cost-effective data platform using industry best practices
• Lead with Vision: Guide data strategy and architecture in partnership with the CPTO and engineering leaders - aligning infrastructure investments with long-term business and product goals
• Accelerate Product Development: Collaborate with Product Managers and SDEs to launch data-intensive features and products
• Ensure Quality & Compliance: Champion data governance, security, and high availability across all data systems
• Mentor & Influence: Set the bar for technical excellence across engineering, sharing best practices and fostering continuous learning

Preferred Qualifications

Bonus for experience with Clickhouse, Airbyte, Rudderstack, Airflow, Metabase & Posthog

Benefits

• Competitive compensation packages
• PTO and Holiday plans
• Benefits packages which include Medical, Dental, Life, and Vision
• Wellness & Technology Programs
• 401k Program