Job Opportunities API

About Nscale 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.   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.   What You’ll be Doing (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.   About You (Skills / Qualifications) ●       5+ years of experience in data engineering within fast-paced and varied environments of any sector ●       Proficiency in Python and TypeScript. ●   &nb