Reve - Data Architect - ETL

Key Responsibilities

• Design and implement robust pipelines to source pricing data automatically from hyperscaler APIs (AWS, Azure, GCP, Oracle, etc.) and regional providers.
• Develop validation and cleansing processes to ensure accuracy and consistency.
• Automate ingestion into Typesense (or alternative search engines).
  

Search & Marketplace Intelligence

• Architect and optimize intelligent search (fuzzy, semantic, NLP-driven).
• Design ranking algorithms that factor in price, performance, region, and compliance.
• Build features like deal scoring, recommendation engines, and AI-driven cost optimization.
  

AI/ML Services

• Explore and deploy NLP/LLM-powered search for contextual queries (best GPU for AI training in Europe under $2/hr).
• Experiment with anomaly detection for pricing errors and trend analysis.
• Work with the product team to build predictive models for cost-saving & Performance :
• Architect data systems that can scale globally with millions of records and fast response times.
• Implement monitoring, error-handling, and recovery strategies for critical data pipelines.
  

Required Skills & Experience

• 7+ years in data architecture, pipelines, or ETL frameworks (Airflow, dbt, Spark, Kafka, etc.).
• Proven experience building pipelines that integrate multiple external APIs.
• Strong skills in data validation, mapping, and schema design.
  

Search Engines & Marketplace Tech

• Hands-on experience with Typesense, Elasticsearch, or Solr.
• Background in marketplace or price aggregation systems (e.g., e-commerce, travel, fintech, or cloud pricing).
  

Ai & Nlp

• Experience with NLP / semantic search (e.g., vector embeddings, Pinecone, Weaviate, FAISS, OpenAI/LLM APIs).
• Knowledge of relevance ranking, recommendation systems, and & Cloud :
• Strong coding skills in Python/Go/Node.js.
• Deep understanding of cloud platforms (AWS/Azure/GCP) and their pricing models.
• Experience with containerized & serverless environments (Docker, Kubernetes, Lambda).
  

Bonus

• Prior experience in FinOps, cloud cost management, or SaaS marketplaces.
• Exposure to graph databases for relationship-driven recommendations.
  

What We Offer

• Ground-floor opportunity in a fast-growing startup.
• Work with a team solving one of the biggest challenges in cloud adoption.
• Competitive salary + equity.
• Remote flexibility with global exposure.