Data Architect

Job Summary

To support a growing data management team, the full-time hybrid Data Architect (AZ Licensed) will maintain and optimize the enterprise-wide data lakehouse architecture, manage complex ETL processes, and ensure data quality for AI and analytics initiatives.

Key responsibilities

• Maintain and manage the enterprise-wide data lakehouse architecture, ensuring scalability, performance, and security
• Build and manage complex Extract, Transform, and Load (ETL) processes and data pipelines from various sources
• Implement data quality checks and monitoring to ensure the integrity and reliability of data assets

Required qualifications

• Minimum of 5 years of experience in data engineering and managing production data pipelines
• Expertise with Databricks for building and managing a data lakehouse
• Hands-on experience with data services in GCP and Azure
• Strong proficiency in building and optimizing ETL processes
• Proficient in Python and SQL, with familiarity in Java as a plus