Big Data Architect

AI overview

Contribute to a high-impact modernization project by designing scalable cloud-native architectures for a global data platform supporting advanced analytics and AI initiatives.
  • Design and evolve scalable, cloud-native data architectures for advanced analytics and AI 
  • Develop and maintain real-time and batch data processing platforms 
  • Define and implement data modeling standards for structured/unstructured data 
  • Integrate innovative technologies (vector databases, LLMs, real-time streaming) 
  • Ensure data quality, lineage, and governance 
  • Collaborate with engineering/product teams to translate business needs into solutions 
  • Optimize platform scalability, cost, and performance in cloud environments 
  • Establish architectural standards for data-driven decision-making 
  • 5+ years of experience in data architecture and engineering 
  • Proficiency in Python for data processing/scripting 
  • Hands-on experience with Apache Airflow 
  • Experience with n8n low-code workflow automation 
  • Strong knowledge of Google BigQuery 
  • Familiarity with VectorDB or similar 
  • Expertise in AWS or GCP cloud services 
  • Experience integrating with OneDrive 
  • Upper-Intermediate English proficiency 

WILL BE A PLUS

  • Experience with data governance tools (e.g., Collibra, Alation) 
  • Knowledge of streaming platforms like Apache Kafka 
  • AI/ML model deployment experience 
  • Multi-cloud architecture expertise 
  • Background in large-scale enterprise data migrations 

    PERSONAL PROFILE

    • Analytical and strategic thinker with a passion for data innovation 
    • Strong communication and stakeholder management skills 
    • Proactive in exploring and adopting emerging technologies 
    • Collaborative team player with a global mindset 

     

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