
Chief Analytics Visionary
7 days ago
We are seeking a talented and experienced Senior Data Architect to design, build, and deploy cutting-edge data analytics platforms. You will work closely with our team of experts to create scalable, intuitive systems that visualize complex network relationships, deliver real-time insights, and integrate with advanced AI models.
The role requires designing systems that handle massive datasets, deliver sub-100ms API response times at scale, and process TB-scale data in real-time.
Key Responsibilities:- Design and implement responsive, scalable web applications for advanced enterprise analytics and data visualization
- Develop 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
- Design interfaces for explainable AI and complex entity relationship analytics
- Implement advanced rendering techniques (WebGL, canvas virtualization) for massive dataset visualization
- Architect and implement fast, scalable GraphQL/REST APIs with sub-sec response times for analytics, entity resolution, and graph queries
- Develop and orchestrate microservices using Node.js, Python, Scala
- Build and maintain data transformation and aggregation pipelines, optimizing for low-latency and high throughput
- Integrate backend analytics powered by Apache Hadoop, Spark, and our proprietary graph database
- Work with our custom graph query language and SDKs to expose graph analytics capabilities
- 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
- Collaborate with data engineers on ETL processes, data architecture, and real-time data integration strategies
- Ensure platform reliability with 99.9% uptime SLAs
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