The composable, out-of-the-box data architecture that gives organizations complete freedom to build, adapt, and scale any data workload — from legacy databases to real-time AI pipelines — without vendor lock-in. Backed by Insight.
About the role
Produce high-quality design documents that hold up to hostile review boards without you in the room Own escalation leadership when something breaks — you're the person in the room
What they're looking for
- 12–18 years in enterprise data/cloud architecture as an SA, principal engineer, or equivalent
- At least one prior multi-year embedded engagement at a Tier 1 bank or equivalent regulated enterprise — you know what it means to be a vendor inside another organization's culture for 12+ months
- Hands-on or recent hands-on depth in the modern OSS data stack: Spark, Trino, Airflow, Iceberg, Kubernetes, S3-compatible object storage, Kafka — at petabyte scale, with hundreds of pipelines
- Experience producing and defending design documents in front of hostile architecture review boards
- Track record of identifying expansion or net-new use cases through architectural insight at a large customer — named examples of "I saw the customer's next workload before they did, qualified it, and partnered with sales to expand"
- Willingness to be on-site in Charlotte, NC (primary) and NYC (secondary) at 80%+ cadence
More about this role
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,...
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