Big Data Architect

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
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