> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt.

# Foundry Engineering Lead

Canonical URL: https://nextmove.md/fde/jobs/60e937813c4272ad

Nscale posts a senior FDE role to build for teams inside the company in New York, NY and 2 more with no pay posted. The Foundry Engineering Lead owns the architecture, development, governance, security, and evolution of Nscale’s Palantir Foundry data platform. Read from the employer’s posting on November 8, 2026.

- [Nscale](https://nextmove.md/fde/companies/nscale)

Posted Sep 9, 2026 by Nscale · open on Greenhouse as of Nov 8, 2026

Pay not posted New York, NY +3

The Foundry Engineering Lead owns the architecture, development, governance, security, and evolution of Nscale’s Palantir Foundry data platform.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F60e937813c4272ad&placement=top)
- [View posting at Nscale](https://job-boards.eu.greenhouse.io/nscaleoperationsukltd/jobs/4972286101)

Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so.

## At a glance

### Posted base pay

Not posted

Staff+ FDE postings, 388 postings: the middle 50% of posted pay is $197K to $262K, median $225K.

### The work

Builds for teams inside the company

Balance **Mostly building**

Project stages

1. Pre-sales (not covered)
2. Proof of concept (not covered)
3. Implementation
4. Operations

- **Coding**: Writes production code

- **Builds for**: Both

- **Level**: Staff+

- **Role**: Technical lead

### Do you meet what the posting states?

The posting reads as a staff-level role. What level are you at now?

The job is in New York, NY · San Francisco, CA · +1 more. Could you work in one of these?

Which of these have you used in production?

Answer each one. Nothing is saved or sent.

[What postings ask for, by background →](https://nextmove.md/fde/paths)

## Conditions

- **Location**: New York, NY · San Francisco, CA · Seattle, WA · Houston

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## The job description from Nscale

Posted by Nscale on Sep 9, 2026

### About the Role (Job Purpose)

We're looking for a **Foundry Engineering Lead** to serve as the technical authority for our Foundry implementation at Nscale—leading the design, development, and governance of the data platform that underpins our internal operations, workflows, and customer-facing capabilities.

This is a senior, high-impact role at the intersection of hands-on engineering and technical leadership. You'll set the architectural direction for Foundry, build and maintain the core data infrastructure, and work closely with Operations, Infrastructure, Platform Engineering, Product, and Commercial teams to deliver reliable, scalable data products.

As the most experienced Foundry engineer in the team, you'll mentor and guide other engineers and analysts, establish standards and best practices, and drive the technical roadmap as the platform scales.

This role is ideal for someone who combines deep, hands-on Foundry expertise with the confidence to lead technically—someone who can architect at scale, get into the details when it matters, and bring others along with them.

### What You'll be Doing (Responsibilities)

- Lead the design and architecture of Nscale's Foundry implementation, ensuring scalability, security, and long-term data integrity.
- Define the technical strategy for Foundry development, aligning with business objectives and the programme-wide data roadmap.
- Act as the technical authority on Foundry across the organisation—setting standards, driving architectural decisions, and owning the evolution of the platform.
- Conduct code reviews and ensure adherence to best practices in data modelling, pipeline development, and integration.
- Mentor engineers and analysts working within the Foundry environment, raising technical capability and quality across the team.
- Design and build scalable, reliable data pipelines that ingest data from infrastructure, platform services, and business systems.
- Define data models, schemas, and ontology structures that support operational workflows and use cases across the business.
- Clean, transform, and structure data to create a digital twin of Nscale.
- Implement permissioning and manage access and security of the Foundry implementation.
- Create trusted datasets and metrics that power workflows, internal tools, and customer-facing insights.
- Enable self-service analytics by establishing clear data contracts, documentation, and semantic layers.
- Build use cases including, but not limited to:
- Capacity planning
- Cost optimisation
- Reliability analysis
- Customer reporting
- Collaborate with Product and Commercial teams to translate real-world business questions into robust data solutions.
- Implement data quality checks, monitoring, and alerting to ensure data correctness and availability.
- Codify data lineage, freshness, and consistency across systems.
- Establish and enforce governance standards around data versioning, access control, and compliance appropriate for a fast-scaling company.
- Oversee the integration of Foundry with existing systems and data sources, ensuring seamless data flows.

### Profile and Required Skills

- **Deep, hands-on expertise in Palantir Foundry**, including ontology modelling, pipeline development, data architecture, and large-scale platform design.
- Proven experience providing technical leadership—setting architectural direction, mentoring engineers, and defining standards in a data engineering context.
- Strong proficiency in Python, with experience applying data engineering frameworks (e.g. Spark, PySpark, Dask, pandas) to large, complex datasets.
- Familiarity with API-driven data integration, including REST, GraphQL, and Foundry Action APIs.
- Experience with Git-based development workflows, including code reviews, version control, and CI/CD pipelines.
- Excellent communication skills—able to explain complex technical concepts clearly to both technical and non-technical stakeholders.
- Comfortable operating in ambiguous, fast-moving environments where requirements evolve quickly.
- A bias toward ownership, pragmatism, and delivering useful solutions.

### Nice to Have

- Experience with cloud platforms (AWS, GCP, Azure) and infrastructure telemetry.
- Familiarity with distributed systems, monitoring data, or usage-based billing data.
- Experience supporting customer-facing data products or platforms.

*For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here.
*

Nscale does not accept unsolicited candidate submissions from recruitment agencies.

[View posting at Nscale](https://job-boards.eu.greenhouse.io/nscaleoperationsukltd/jobs/4972286101)

## About Nscale

Nscale combines AI data centers, GPU compute, networking, storage, and managed software into a vertically integrated cloud for training and inference.

Series C · 500–1000 people

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- [Compare staff+ FDE salary ranges](https://nextmove.md/fde/salary/staff)
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