[Hiring] Web App Developer @Cushman & Wakefield

Role Description

Our Enterprise Data team is building a Databricks-native data platform spanning master data management, AI-powered data quality and lineage, and a suite of internal tools used by data stewards, analytics engineers, and business stakeholders across multiple global regions. We are hiring a mid-level Web Application Developer to design, build, and operate the front-end and API layer of these tools — with Databricks Apps as the primary deployment target and Unity Catalog as the data authority.

You will work closely with data engineers, platform architects, and business stakeholders to turn complex data workflows — stewardship queues, lineage dashboards, quality monitoring — into polished, production-grade web applications that feel enterprise-ready without sacrificing developer velocity.

Qualifications

• 3–6 years of professional experience building web applications in a TypeScript / React environment
• Proficiency with React hooks, component composition, state management (Redux Toolkit or Zustand), and modern build tooling (Vite / ESBuild)
• Python back-end experience with FastAPI or Flask — REST API design, async handlers, dependency injection
• Solid understanding of RESTful API design and OpenAPI / Swagger documentation
• Hands-on experience building or operating Databricks Apps — SDK authentication, workspace resource management, app lifecycle
• Working knowledge of Unity Catalog — schemas, tables, volumes, grants, and lineage APIs
• Familiarity with Delta Lake table formats, Spark SQL, and the DBSQL Connector for Python
• Exposure to Databricks Asset Bundles (DABs) for CI/CD and multi-environment deployment patterns
• Experience working within enterprise DevOps pipelines — Azure DevOps or GitHub Actions preferred
• Comfortable with containerisation (Docker) and cloud-hosted deployment (Azure preferred)
• Proficiency with Git, pull-request workflows, and semantic versioning
• Ability to read and write basic SQL; comfort querying Databricks SQL warehouses from application code

Requirements

• Design and build React + FastAPI web applications deployed as Databricks Apps, authenticated via the Databricks SDK
• Develop data stewardship and workflow UIs — review queues, confidence visualisations, approval/rejection flows
• Build interactive dashboards surfacing data lineage, quality scores, and pipeline health metrics from Unity Catalog
• Implement REST APIs in FastAPI, integrating with Databricks SQL Connector, Delta tables, and AI Model Serving endpoints
• Integrate front-end applications with Unity Catalog through the Databricks SDK and REST APIs — table discovery, access control, lineage graphs
• Consume AI-generated outputs (narrative summaries, quality assessments) from model serving endpoints and surface them in the UI
• Author and maintain Databricks Asset Bundles (DABs) configurations for CI/CD deployment across DEV, INT, UAT, and PROD environments
• Collaborate with platform engineers to ensure apps are stateless, containerised, and scalable within the Databricks workspace security perimeter
• Write unit and integration tests; maintain >80% coverage on critical paths
• Participate in design reviews, PR reviews, and architecture discussions with globally distributed team members
• Produce clear technical documentation — API contracts, component libraries, deployment runbooks — suitable for handover to platform operations
• Contribute to and uphold front-end coding standards, TypeScript typing discipline, and accessibility guidelines

Benefits

• Meaningful ownership of a greenfield platform used by data professionals across a large global enterprise
• Visibility to senior data and technology leadership — your work informs strategic decisions
• Opportunity to build at the intersection of enterprise data management and applied AI / agentic workflows
• Competitive compensation benchmarked to the India technology talent market; performance-linked variable pay
• Flexible remote-first working within India, with a collaborative team spanning multiple global regions
• Learning and certification budget for Databricks, Azure, and related platforms