Staff Engineer

Nexus One; Atlanta (GA); On-site; USD 140,000 - 190,000; Full time

Job summary

Nexus One is seeking a Staff Data Engineer to shape the technical direction of our data platform and mentor engineers across the organization. This senior role partners with engineering leadership, analytics, and product stakeholders to ensure scalable, reliable data infrastructure that supports AI-driven business decisions.

You will drive architecture standards, guide data modeling, and lead cross-team initiatives to improve developer velocity and platform reliability in a fast-growing company.

Qualifications

• 7+ years of professional data engineering experience.
• Experience leading the architecture of complex data platforms end-to-end.
• Strong SQL and at least one data ENG language (Python/Scala/Java).
• Experience mentoring engineers and setting technical direction.

Responsibilities

• Define and drive the technical architecture and long-term roadmap for the data platform.
• Lead design of large-scale, high-reliability data pipelines across teams.
• Set engineering standards for data modeling, testing, observability, and pipeline design.
• Mentor and guide senior/mid-level data engineers.
• Evaluate and introduce new tools and platforms to improve scalability and velocity.
• Partner with engineering, product, and analytics leadership to align investments with priorities.
• Lead root-cause analysis for cross-system data incidents and fixes.
• Represent the data engineering function in cross-org architecture discussions.

Skills

Data architecture

SQL

Python

Scala/Java

Cloud data platforms

Data engineering

Mentoring

Job description

About Nexus

You don't have an AI story if you don't have your data story. That's where NexusOne comes in.

We're the converged data platform for the AI era — composable by design, built on an open-source foundation, and AI-native from the ground up. One identity, one governance envelope, one operational layer across every mainframe, data lake, warehouse, and streaming system in the business. For the first time, enterprises can bring their existing stack along instead of rebuilding it — and still give AI agents full context across the estate.

What we stand for is simple: sovereign data, interoperable systems, decoupled intelligence — delivered the way modern software should be. No rip-and-replace. No multi-year transformation. Our CEO Anu Jain puts it well: we turn the "ball of yarn" of data integrations into a unified engine — less like assembling car parts, more like buying the car ready to drive. 85+ open-source tools pre-integrated. AI-native automations that deploy and self-heal the stack without human toil. Forward-deployed engineers who build shoulder-to-shoulder with customer teams — hands on keyboards, not just on decks.

It's working, and fast. We're tripling revenue year over year, backed by Insight Partners, and running in production in environments most vendors won't touch. Our platform processes credit risk data for 90%+ of US small businesses — 40M+ — every month. Intent signals for 300M+ subscribers monthly for Africa's largest telco. The data and AI layer for a Top 3 US bank.

We're 100+ people across the US and India, headquartered in Atlanta. We think big, move fast, and don't mistake activity for progress. We hire people who'd rather ship the rocket than brief someone on it.

Check out this podcast of Anu talking about our solution here: https://www.youtube.com/watch?v=g8g50sv5GhQ

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

REQUIRED 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

Why You’ll Love Working at Nexus

At Nexus, we value people who want to grow — and support each other while doing so.

You can expect:

• 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