R-Zero's data infrastructure is straining to keep up with the pace of new projects, and the company needs a Staff Data Engineer to define and build the data architecture that will power its next phase of growth.
Requirements
- 8+ years of data engineering experience, with at least 2 years in a staff-level role
- A track record of designing and implementing data architectures that scaled—you've made technology choices you'd make again
- Deep expertise in data orchestration (Airflow, dbt, Prefect), streaming systems, and time-series databases
- Experience building data platforms that support ML/AI workloads—you understand what data scientists need to be productive
- Strong opinions on data modeling, loosely held—you can articulate tradeoffs and change your mind with new information
- Experience with IoT data pipelines or building management systems
- Background building data infrastructure at a growth-stage company (you've seen what breaks at scale)
Responsibilities
- Define the data architecture strategy for R-Zero's IoT platform, making build vs. buy decisions and selecting technologies that will scale with our growth.
- Design a real-time data infrastructure capable of ingesting thousands of data points per minute from diverse BMS protocols (BACnet, Modbus, LonWorks)
- Architect ML-ready data pipelines that will power predictive energy models, anomaly detection, and automated optimization—laying the groundwork for AI capabilities
- Establish data quality frameworks, monitoring standards, and observability practices to catch issues in hours rather than weeks.
- Partner with engineering leadership to align data infrastructure investments with business priorities and product roadmap
- Drive technical decisions across teams, providing guidance on data modeling, pipeline design, and integration patterns.
- Mentor engineers on data engineering best practices, conduct design reviews, and raise the technical bar across the organization.
Other
- 8+ years of experience
- A bachelor's degree is not explicitly mentioned, but it is implied that the candidate should have a strong educational background
- Must be able to sit for prolonged periods of time
- Must be able to lift, push and pull at least 75 lbs (although this is rarely required)
- Proof of eligibility to work in the United States and a background check is required upon employment
