
Data-Driven Enterprise Solutions Architect
6 days ago
We are looking for an experienced Enterprise Analytics Platform Engineer to drive the development of user-facing solutions built on our custom graph database and high-performance analytics engine.
- Design, develop, and deploy responsive web applications using React and TypeScript for advanced enterprise analytics and data visualization.
- Create interactive graph/network visualizations capable of rendering millions of nodes and edges smoothly.
- Optimize frontend performance for real-time exploration of large, multi-dimensional datasets.
Key Responsibilities:
Frontend & Visualization (40%)- Develop modern web applications using React and TypeScript for advanced enterprise analytics and data visualization.
- Create sophisticated graph/network visualizations that can handle complex data.
- Improve frontend performance for fast data exploration.
- Build efficient GraphQL/REST APIs with sub-second response times for analytics, entity resolution, and graph queries.
- Implement scalable microservices using Node.js, Python, and Scala.
- Develop data transformation and aggregation pipelines, optimizing for low-latency and high throughput.
- Deploy, scale, and monitor services on GCP (Kubernetes, GKE, Cloud Run, Pub/Sub).
- Implement cloud functions and serverless analytics workflows.
- Design and optimize large-scale data processing pipelines handling TB-scale data with Apache Hadoop and Spark.
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