Mission:
Design scalable data infrastructure and architecture to support analytics and AI initiatives.
Key Responsibilities:
Create data models, pipelines, and storage solutions.
Optimize data workflows (ETL, real-time processing).
Ensure architecture aligns with security and compliance standards.
Mentor junior architects and collaborate with DevOps/engineering teams.
Required Skills:
7+ years in data architecture/engineering.
Expertise in cloud platforms (AWS, Azure), databases (SQL/NoSQL), and tools (Apache Kafka, Airflow).
Knowledge of data governance and AI integration.
Ideal Profile:
Degree in Computer Science or related field. Experience in large-scale data environments.
Design scalable data infrastructure and architecture to support analytics and AI initiatives.
Key Responsibilities:
Create data models, pipelines, and storage solutions.
Optimize data workflows (ETL, real-time processing).
Ensure architecture aligns with security and compliance standards.
Mentor junior architects and collaborate with DevOps/engineering teams.
Required Skills:
7+ years in data architecture/engineering.
Expertise in cloud platforms (AWS, Azure), databases (SQL/NoSQL), and tools (Apache Kafka, Airflow).
Knowledge of data governance and AI integration.
Ideal Profile:
Degree in Computer Science or related field. Experience in large-scale data environments.