Enterprise Analytics Platform Architect

3 days ago

India beBeeAnalytics Full time US$ 1,50,000 - US$ 2,00,000

Job Title: Enterprise Analytics Platform Architect

We are seeking a skilled Full Stack Developer to join our team and drive the development of user-facing solutions built on our custom graph database and high-performance analytics engine.

The ideal candidate will have strong hands-on experience with React, TypeScript, Scala, Hadoop, and Apache Spark for distributed data processing and analytics.

Key Responsibilities:

  • Frontend & Visualization (40%):
    • Build responsive, scalable web apps for advanced enterprise analytics and data visualization using React/TypeScript.
    • 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.
  • Backend & API Development (35%):
    • 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 Python, Scala, and Docker/Kubernetes.
    • Build and maintain data transformation and aggregation pipelines, optimizing for low-latency and high throughput.
  • Cloud Infrastructure & Data Platform (25%):
    • Deploy, scale, and monitor services on GCP using Kubernetes, GKE, Cloud Run, and 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.

Requirements:

  • At least 5–8+ years' experience as a full stack engineer in analytics, big data, or enterprise environments.
  • Strong hands-on experience with React, TypeScript, Scala, Hadoop, and Apache Spark for distributed data processing and analytics.
  • Advanced expertise with Hadoop and Apache Spark for distributed data processing and analytics.

Benefits:

  • Shape the architecture of an essential platform for enterprise decision-making.
  • Work on proprietary graph technology, big data pipelines, and cutting-edge AI.
  • Influence core engineering and play a central role in building the early team.
  • Significant early-stage equity and a high-impact remote-first culture.

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