Visionary Enterprise Data Architect

6 days ago

Chennai, Tamil Nadu, India beBeeDataEngineer Full time US$ 1,80,000 - US$ 2,00,000
Enterprise Data Platform Opportunity

We are seeking a skilled Full Stack Engineer to join our team in redefining how organizations tackle financial crime, fraud, and risk management through our contextual decision intelligence platform.

The platform processes trillions of data points from corporate registries, ESG, SDG, and supply chain data to deliver transparent, ethical, and actionable insights.

Our mission is to empower organizations with unparalleled intelligence while upholding the highest standards of integrity and societal impact.

As a passionate and sharp Full Stack Developer, you will architect and build the front-end and back-end systems for our platform, working closely with AI Engineers to create a scalable, intuitive platform.

This role requires solving intricate technical challenges, from real-time large data processing to interactive graph visualizations, while contributing to a mission that fights financial crime, builds customer intelligence, and promotes ethical decision-making.

Key Responsibilities
  • Create responsive, scalable web applications (React/TypeScript) 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.
Technical 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, D3.js, WebGL, Node.js, Python, Scala.
  • Advanced expertise with Hadoop and Apache Spark for distributed data processing and analytics.
  • Experience building rich data visualizations and enterprise dashboards handling millions of data points.
  • Proficient in API design (GraphQL/REST), microservices, and optimizing for real-time and large-scale data flows.
  • Database exposure: PostgreSQL, Redis, Elasticsearch; experience designing or scaling custom graph engines a plus.
  • GCP experience with services like GKE, Pub/Sub, BigQuery, and Cloud Run.
Why Join Us
  • Impact: Shape the architecture of an essential platform for enterprise decision-making.
  • Innovation: Work on proprietary graph technology, big data pipelines, and cutting-edge AI.
  • Growth: Influence core engineering and play a central role in building the early team.
  • Learning: Comprehensive onboarding on our proprietary systems with continuous learning opportunities.
  • Flexibility & Equity: Significant early-stage equity, learning resources, and a high-impact remote-first culture.

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