[Hiring] Staff Data Engineer @Nexus One

Role Description

We're looking for a Staff Data Engineer to help set the technical direction for our data platform and mentor engineers across the organization. This is a senior technical leadership role for someone who has built and scaled data systems before and wants to shape architecture, standards, and best practices at a company-wide level. You'll partner closely with engineering leadership, analytics, and cross-functional stakeholders to ensure our data infrastructure can scale with the business.

Key Responsibilities

• Define and drive the technical architecture and long-term roadmap for the company's data platform
• Lead the design of large-scale, high-reliability data pipelines and systems spanning multiple teams
• Set engineering standards for data modeling, testing, observability, and pipeline design across the organization
• Mentor and provide technical guidance to senior and mid-level data engineers
• Evaluate and introduce new tools, frameworks, and platforms to improve scalability, reliability, and developer velocity
• Partner with engineering, product, and analytics leadership to align data infrastructure investments with business priorities
• Lead root-cause analysis for complex, cross-system data incidents and drive systemic fixes
• Represent the data engineering function in cross-org architecture and planning discussions

Qualifications

• 7+ years of professional data engineering experience, including significant time designing large-scale data systems
• Demonstrated experience leading the architecture of complex data platforms end-to-end
• Deep expertise in SQL and at least one programming language used for data engineering (e.g., Python, Scala, or Java)
• Proven track record of setting technical direction and influencing engineering standards across teams
• Extensive experience with cloud data platforms, data warehousing, and pipeline orchestration at scale
• Strong communication skills, with experience presenting technical strategy to both engineering and business stakeholders
• Experience mentoring and developing other engineers

Preferred Qualifications

• Experience building data platforms that support both analytics and machine learning use cases
• Track record of leading major platform migrations or re-architecture efforts
• Experience with streaming architectures and real-time data processing at scale
• Familiarity with data governance, lineage, and compliance requirements
• Prior experience in a Staff, Principal, or equivalent individual-contributor leadership role

Benefits

• A collaborative team culture built on curiosity and respect
• Challenging work where your contributions clearly matter
• A leadership team that invests in learning and development
• The opportunity to work at the intersection of cloud, data, and AI innovation

Ready to Apply?

If this role sounds like a great fit — or even close to one — we’d love to hear from you. We know that no candidate checks every single box, and we’re excited to meet people who bring curiosity, talent, and a desire to build meaningful work together.