Workflow Builder

About the role

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.

Qualifications

• 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

What We Can Offer You

• Hightly 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. Grow by trying new things, leading, challenging the status quo, and owning your impact, always with our full support.
• 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. We build seamless virtual collaboration, empowering you, wherever you work.

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.