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Summary: 1. Key technical requirements and skills: - Expertise in designing and evolving scalable, cloud-native data architectures for advanced analytics and AI - Proficiency in Python for data processing and scripting - Hands-on experience with Apache Airflow, Google BigQuery, VectorDB, and cloud services (AWS, GCP) - Experience integrating with OneDrive 2. Team/project information: - The role is part of a global data platform modernization project for a world-leading media and information services company - The project involves developing a scalable, cloud-native data platform to support advanced analytics, AI/ML applications, and real-time/batch data processing 3. Unique or notable aspects: - The opportunity to shape next-generation global data infrastructure and work with cutting-edge AI/ML and streaming technologies - Exposure to both AWS an
Are you ready to architect the future of global data platforms?
Sigma Software is looking for a Big Data Architect to join our team on a full-time, remote basis. You will work on a high-impact modernization project for a world-leading media and information services company, shaping the backbone of advanced analytics and AI initiatives.
This is your chance to design scalable, cloud-native architectures that power millions of professionals worldwide. Why join us? You’ll be part of a global project with cutting-edge technologies, influence key architectural standards, and collaborate with top-tier experts in a truly innovative environment.
CUSTOMER
Our customer is a global leader in providing trusted content, technology, and expertise to professionals across law, tax, compliance, government, and media sectors. With over 100 years of history and operations in more than 100 countries, they are recognized for their innovation in integrating AI and analytics into professional tools, and consistently rank among the most trusted sources for news and data.
PROJECT
You will contribute to the Global Data Platform Modernization project, developing a scalable, cloud-native data platform that supports advanced analytics, AI/ML applications, and real-time/batch data processing. This initiative offers you the opportunity to shape next-generation global data infrastructure, work with cutting-edge AI/ML and streaming technologies, and gain exposure to both AWS and GCP ecosystems.
Key Technologies: Python, Apache Airflow, n8n, Google BigQuery, VectorDB, AWS (S3, Lambda, Glue, Redshift), GCP (Cloud Storage, Dataflow, BigQuery), OneDrive integration
Originally posted on Himalayas