Workflow Builder
Primary stack
Nice to have's
Job description
About the Position
We are looking for a Workflow Builder to join Nscale, the GPU cloud engineered for AI. You will construct the data, models, and workflows to underpin our business, spanning Infrastructure, Product, Finance, Commercial, People, and Operations. You will define the roadmap based on business needs, build solutions across relevant product suites including Palantir Foundry, and ensure that teams at Nscale can make decisions backed by the right data.
About the Role (Job Purpose)
We’re looking for a Workflow Builder that will pull together and construct the data, models, and workflows to underpin our business. You will bring distinct use cases as well as an overall operating system and architecture for data at Nscale, spanning Infrastructure, Product, Finance, Commercial, People, and Operations, amongst others. You will define the roadmap based on business needs, build solutions across relevant product suites including Palantir Foundry, and ensure that teams at Nscale can make decisions backed by the right data. The role is ideal for someone who can distill the most valuable workflows from a myriad of inputs and teams, can effectively partner with C-suite and factory workers alike, and has prior experience deploying Palantir Foundry.
Responsibilities
Internal Data and Workflow Development
- Execute the enterprise roadmap for the internal data and application platform, aligning use case development with product and business priorities.
- Assume end-to-end responsibility for specific use-case identification, design, build, and rollout.
- Scale partner-developed and experimental solutions into production-grade, internally owned systems.
- Be a part of the internal Palantir Center of Excellence covering platform engineering, access management, and user support, as well as partnership with the vendor to provide continuous feedback and understanding upcoming developments.
Data Architecture, Ontology & Governance
- Implement enterprise standards for data ingestion, pipeline orchestration, semantic modeling, and interoperability across analytics systems.
- Own governance of canonical data models and ontologies, managing schema evolution while maintaining business and product alignment.
- Enforce best practices for dataset management, version control, code quality, review processes, and reproducible AI workflows.
- Design and operate a secure identity and permissions framework, including RBAC, restricted views, and enterprise identity integrations.
AI Enablement, Adoption & Operational Intelligence
- Integrate data across development, production, and operational systems into a unified AI data fabric supporting real-time insights.
- Build feedback loops from deployed AI systems to track performance, reliability, and operational readiness.
- Deliver tools and data products that improve efficiency, quality, and decision-making across teams.
- Drive platform adoption through onboarding, training, documentation, and safe self-service development practices.
Requirements
- 5+ years of experience in data engineering within fast-paced and varied environments of any sector
- Proficiency in Python and TypeScript
- Experience deploying and building in Palantir Foundry preferred
- Experience with Git or other version control systems
- Proven success in taking ambiguous tasks and turning them into products and solutions that were successfully developed, rolled out, and adopted
- Excitement at the prospect of working in a fast-paced, high-growth environment
We Offer
- Collaborative, supportive, and innovative environment where your contributions spark real impact
- Highly competitive package (base + equity) with reviews every 12 months
- Join the fastest-growing tech startup, your chance to push boundaries, collaborate with brilliant minds, and make your mark on cutting-edge AI
- Expect a dynamic progression plan tailored to your ambitions
- Human-First Flexibility: We treat you as humans first. Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life's moments
- Join our thriving remote-first team. Geography is no barrier to impact or connection
Salary Range
$130,000 - $160,000 USD
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.
About the Company
Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility.
We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you’ll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you’ll be contributing to building the technology that powers the future.
Equal Opportunities Statement
We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. If there’s anything we can do to accommodate your specific situation, please let us know. The responsibilities outlined in this job description are not exhaustive and are intended to provide a general overview of the position. The employee may be required to perform additional duties, tasks, and responsibilities as assigned by management, consistent with the skills and qualifications required for the role.
© Nscale. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
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