Nscale
Foundry Engineering Lead
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Foundry Engineering Lead
About Us
Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and enterprise customers, enabling AI-driven companies to achieve superior results through simplified development. Our GPU cloud strengthens technical capabilities and aligns with key business outcomes—cost management, rapid innovation, and environmental responsibility.
We foster a culture of relentless innovation, ownership, and accountability. As an Nscaler, you’ll drive impact with excellence and urgency, inspired to deliver your best work in an environment built on open transparency and trust. Join us to shape the technology that powers the future.
About the Role
Job Purpose
We are seeking a Foundry Engineering Lead to serve as the technical authority for Nscale’s Foundry implementation—leading the design, development, and governance of the data platform that supports internal operations, workflows, and customer-facing capabilities.
This is a senior, high-impact role blending hands-on engineering with technical leadership. Your responsibilities include:
- Define the technical architecture of Foundry
- Build and maintain core data infrastructure
- Collaborate closely with Operations, Infrastructure, Platform Engineering, Product, and Commercial teams to deliver scalable, reliable data products
As the most experienced Foundry engineer on the team, you will:
- Mentor and guide engineers and analysts
- Establish standards, best practices, and the technical roadmap as the platform scales
Ideal for someone who combines deep Foundry expertise with leadership confidence, able to architect at scale, dive into technical details, and drive the team forward.
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, aligning with business objectives and the company’s data roadmap.
- Act as the technical authority on Foundry—setting standards, guiding architectural decisions, and owning the evolution of the platform.
- Conduct code reviews and enforce best practices in data modelling, pipeline development, and integration.
- Mentor engineers and analysts in Foundry, raising technical capability and quality across the team.
- Design and build scalable, reliable data pipelines ingesting data from infrastructure, platform services, and business systems.
- Define data models, schemas, and ontology structures to support operational workflows and business use cases.
- Clean, transform, and structure data to create a digital twin of Nscale.
- Implement permissioning and manage access/security for the Foundry environment.
- Develop trusted datasets and metrics for workflows, internal tools, and customer-facing insights.
- Enable self-service analytics by establishing data contracts, documentation, and semantic layers.
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Key Use Cases to Build
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Capacity planning
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Cost optimisation
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Reliability analysis
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Customer reporting
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Collaborate with Product and Commercial teams to translate business questions into data solutions.
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Implement data quality checks, monitoring, and alerting to ensure data correctness.
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Codify data lineage, freshness, and consistency across systems.
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Establish and enforce governance standards around:
- Data versioning
- Access control
- Compliance for a fast-growing business.
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Oversee seamless integration of Foundry with existing systems and sources.
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Profile and optimise data flows for reliability and performance.
Profile Required
Technical Skills & Experience
- Deep, hands-on expertise in Palantir Foundry, including:
- Ontology modelling
- Pipeline development
- Data architecture
- Large-scale platform design
- Proven leadership in technical roles, including:
- Setting architectural direction
- Mentoring engineers
- Defining data engineering standards
- Strong Python proficiency, with experience in:
- Data engineering frameworks (Spark, PySpark, Dask, Pandas)
- Handling complex, large datasets
- Familiarity with:
- API-driven data integration (REST, GraphQL, Foundry Action APIs)
- Git-based development workflows (code reviews, version control, CI/CD)
- Excellent communication skills—ability to explain complex technical concepts to both technical and non-technical stakeholders.
- Comfortable working in ambiguous, fast-paced environments with evolving requirements.
- A bias for ownership, pragmatism, and delivery of impactful solutions.
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Nice to Have
- Experience with:
- Cloud platforms (AWS, GCP, Azure) and infrastructure telemetry.
- Distributed systems, monitoring, or usage-based billing systems.
- Supporting customer-facing data products.
What We Offer
At Nscale, you’ll thrive in a collaborative, supportive, and innovative environment where your contributions spark real impact.
Benefits
- Highly competitive package (base + equity) with annual reviews.
- Be part of the fastest-growing tech startup, pushing boundaries and collaborating with brilliant minds at the forefront of AI.
- Dynamic career progression tailored to your ambitions—grow by leading, challenging norms, and owning impact.
- Human-First Flexibility:
- We prioritise people over policies, fostering a culture that trusts you to deliver while you design your ideal working life.
Statement of Equity and Inclusion
We strongly encourage applications from:
- People of colour
- LGBTQ+ individuals
- People with disabilities
- Neurodivergent individuals
- Parents, carers, and those from lower socio-economic backgrounds
If you require accommodations or have questions about accessibility, please let us know.
Additional Information
The responsibilities listed here are not exhaustive. You may also be required to undertake additional tasks as assigned by management, aligned with the skills and qualifications of the role.
For details on how Nscale handles candidate personal data, see our Employee & Candidate Privacy Notice.
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