Lead Web Applications Developer - Databricks
Key Skills for This Role
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Architect and design secure, scalable, and maintainable Databricks web applications using React, TypeScript, Python, and FastAPI
Lead development of responsive, accessible user interfaces using React, reusable components, modern state management, and design-system standards
Design and implement Python and FastAPI backend services, REST APIs, request validation, asynchronous workflows, and integration layers
Integrate FastAPI services with Delta Lake tables, Databricks SQL warehouses, jobs, notebooks, Unity Catalog, and model-serving endpoints
Define frontend-backend contracts, API versioning, error handling, caching, state management, and application performance standards
Implement authentication, authorization, service principals, secrets management, and Unity Catalog-aligned data access controls
Establish automated testing for React components, FastAPI services, APIs, and Databricks integrations, together with CI/CD and production deployment practices
Optimise API latency, frontend responsiveness, Databricks queries, compute usage, reliability, observability, and cost
Lead and mentor a team of 1-2 full-stack Databricks application developers and enforce effective engineering and code review standards
Collaborate with product owners, UX designers, data engineers, data scientists, and stakeholders in Agile delivery
You'll need to have:
8+ years of software engineering experience, including production full-stack web application development and data-platform integration
2+ years of experience in a technical leadership or team lead role
Advanced Python development skills and strong hands-on experience designing production APIs and services with FastAPI
Strong React and TypeScript experience, including component architecture, hooks, routing, state management, responsive design, and accessibility
Strong hands-on experience with Databricks, Delta Lake, Databricks SQL, Unity Catalog, and applications deployed on or integrated with the platform
Experience integrating FastAPI applications with Databricks APIs, SQL warehouses, jobs, notebooks, and model-serving endpoints
Strong knowledge of REST API design, OpenAPI, asynchronous programming, data validation, error handling, and application security
Experience with authentication and authorization patterns such as OAuth 2.0 or OpenID Connect, service principals, secrets, and secure coding practices
Track record of converting analytical prototypes into reliable, scalable, production-ready React and FastAPI applications
Excellent communication, technical leadership, and stakeholder management skills, with a bachelor's or master's degree in computer science or a related field
Preferred Qualifications
- Experience with React tooling and libraries such as Vite, Redux Toolkit or React Query, Jest, React Testing Library, and Playwright
- Experience with Python tooling such as Pydantic, SQLAlchemy, Pytest, dependency management, linting, and type checking
- Experience with Databricks Asset Bundles, Databricks CLI, Git-based workflows, Docker, and automated application deployment
- Experience operating Databricks and web application workloads on Azure, AWS, or Google Cloud
- Familiarity with MLflow, Mosaic AI Model Serving, application observability, performance monitoring, and AI-enabled application patterns
Qualifications
- Experience with React tooling and libraries such as Vite, Redux Toolkit or React Query, Jest, React Testing Library, and Playwright
- Experience with Python tooling such as Pydantic, SQLAlchemy, Pytest, dependency management, linting, and type checking
- Experience with Databricks Asset Bundles, Databricks CLI, Git-based workflows, Docker, and automated application deployment
- Experience operating Databricks and web application workloads on Azure, AWS, or Google Cloud
- Familiarity with MLflow, Mosaic AI Model Serving, application observability, performance monitoring, and AI-enabled application patterns
- Additional information
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