Data Architect
Core
Architectural leadership of the enterprise DWH project in an AWS cloud environment, designing robust data infrastructure and enabling large-scale data processing for BI and AI initiatives.
Role type
Senior Data Architect (Cloud & Data Engineering)
Builds
Enterprise Data Warehouse, Data Lakes, and AI/GenAI data solutions on AWS
Domain
Cloud Data Engineering, Big Data, AI/ML Infrastructure
Deliverable
production ML models
Required skills
AWS cloud architecture, Data Warehouse design, Data Lake architecture, Python, Spark, Airflow, Docker, Kubernetes, Parquet, Iceberg, BI tool integration, GenAI/Prompt Engineering architecture
Preferred skills
Machine Learning platform experience, Microservices architecture design
Technologies
AWS (Redshift, Glue, Athena, EMR, RDS), Airflow, Docker, ECS, Kubernetes, Parquet, Iceberg, QuickSight, Tableau, PowerBI
Responsibilities
Lead architectural design and implementation of the new enterprise DWH project; Design, develop, and optimize complex cloud-based data solutions for processing massive datasets; Select and implement optimal AWS services and data formats for the core data stack; Provide technical leadership, mentorship, and professional guidance to the Data Engineering team; Collaborate with development teams, Data Scientists, and end-users to define requirements and deliver innovative Data and AI solutions
Seniority
Senior, hands-on IC with leadership responsibilities
