Big Data Architect

Company Description 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  Job Description 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  Qualifications 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  Additional Information 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