Your goal is to abstract the complexity of our data infrastructure (GCP, BigQuery, dbt, Airflow/Composer) behind a clean, component-based UI and robust APIs, enabling self-service provisioning and seamless platform workflows for technical users.

Core Responsibilities :

Frontend & UI/UX Development :

- Component-Based UI : Architect and build a modular, reusable component library for our internal developer portal and admin consoles.

- UX for Technical Users : Design intuitive interfaces tailored for data professionals, focusing on clarity, speed, and reducing friction in complex workflows.

- Platform Workflows : Build front-end experiences for self-service infrastructure provisioning, code templates, and dynamic documentation sites.

- Instrumentation & Analytics : Embed telemetry within the UI to track user adoption, feature usage, and identify workflow bottlenecks.

Backend & Integration Engineering :

- API Development : Design and develop highly scalable backend services and REST/gRPC APIs to power the frontend portal.

- Platform Connectors : Build the integration layers that enable secure, reliable communication between disparate platform components, specifically Cloud Composer (Airflow), Dataplex, BigQuery, and dbt.

- Auth & Security : Implement strict authentication and authorization flows (e.g., OAuth, OIDC, RBAC integration) across both the UI and API layers.

- Reliability : Ensure the high availability, scalability, and performance of all internal platform services.

Technical Requirements (The "Must-Haves") :

- Experience : Minimum 5+ years of full-stack engineering, with a proven track record of building internal platforms, developer portals, or enterprise admin consoles.

- Frontend Mastery : Deep expertise in modern JS frameworks (React, Vue, or Angular) with a strong emphasis on component abstraction and state management.

- Backend Expertise : Strong backend language skills (Python, Node.js, Go, or Java) with expertise in building robust RESTful and gRPC services.

- Data Ecosystem Familiarity : While you don't need to be a Data Engineer, you must understand how data tools interact.

- Prior exposure to integrating with GCP services (BigQuery, Dataplex), orchestration tools (Composer/Airflow), and transformation engines (dbt) is critical.

- System Design : Ability to design decoupled architectures where the UI interacts seamlessly with microservices and cloud-native APIs.

What Success Looks Like :

- Developer Autonomy : Reducing the time it takes for a Data Engineer to provision a new pipeline workspace from days to minutes via your self-service UI.

- Component Reusability : Establishing a core library of UI abstractions that allows the platform team to spin up new internal tools rapidly.

- Seamless Integration : Zero-friction API communication between our orchestration layer (Composer), governance layer (Dataplex), and execution layer (BigQuery/dbt)