Staff Data Platform Engineer

TL;DR

Staff Data Platform Engineer (Data Science ML): Architecting and developing hirify.global's next-generation data platform for batch and real-time workloads with an accent on scalable distributed systems, streaming event-driven architectures, and lakehouse technologies. Focus on designing data systems that enable real-time analytics, observability, and future AI/ML capabilities.

Location: Hybrid in New York City or San Francisco, United States

Salary: $196,000–$294,000

Company

hirify.global provides developers with tools and cloud infrastructure to build, scale, and secure a faster, personalized web, powering platforms like Next.js and AI SDK.

What you will do

• Architect and build a scalable data platform for batch and real-time workloads.
• Design streaming and event-driven systems using Kafka and related tooling.
• Implement modern lakehouse foundations including Iceberg-based storage and governance.
• Partner with engineering, product, and leadership to define data strategy and technical direction.
• Establish best practices for ingestion, modeling, storage, quality, and security.
• Write production-grade code and set engineering standards across the team.
• Improve reliability through observability, monitoring, and fault tolerance.
• Drive long-term architectural decisions and evaluate build-vs-buy tradeoffs.
• Support analytics and ML teams by delivering high-quality data systems and tooling.

Requirements

• Must have 8+ years in data engineering or data architecture with senior/principal experience
• Strong expertise with Kafka, ClickHouse, Tinybird, Snowflake, Iceberg
• Experience with cloud platforms such as AWS, GCP, or Azure
• Excellent communication skills and ability to influence cross-functional teams
• Location: Hybrid in New York City or San Francisco, United States

Culture & Benefits

• Competitive compensation including equity
• Inclusive healthcare package
• Mentorship and learning opportunities with event attendance support
• Flexible time off
• Equipment and WFH budget provided