Sigma Software is hiring a Big Data Architect to shape the future of data platforms for a world-leading media and information services company. You will join a high-impact modernization project, designing architectures that power advanced analytics and AI for millions of professionals globally.

What You'll Do

Design and evolve scalable, cloud-native data architectures for advanced analytics and AI initiatives.
Develop and maintain real-time and batch data processing platforms.
Define and implement data modeling standards for structured and unstructured data.
Integrate innovative technologies such as vector databases, LLMs, and real-time streaming.
Ensure data quality, lineage, and governance across the platform.
Collaborate with engineering and product teams to translate business needs into technical solutions.
Optimize platform scalability, cost, and performance in cloud environments.
Establish architectural standards for data-driven decision-making.

What We're Looking For

5+ years of experience in data architecture and engineering.
Proficiency in Python for data processing and scripting.
Hands-on experience with Apache Airflow.
Experience with n8n low-code workflow automation.
Strong knowledge of Google BigQuery.
Familiarity with VectorDB or similar technologies.
Expertise in AWS or GCP cloud services.
Experience integrating with OneDrive.
Upper-Intermediate English proficiency.

Nice to Have

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

Technical Stack

Languages & Tools: Python, Apache Airflow, n8n, Google BigQuery, VectorDB
AWS: S3, Lambda, Glue, Redshift
GCP: Cloud Storage, Dataflow, BigQuery
Integrations: OneDrive

Team & Environment

You will be part of a global project working with cutting-edge technologies. You will influence key architectural standards and collaborate with top-tier experts in a truly innovative environment.