Description

You will design and implement complex data architectures across cloud environments.

Responsibilities

• Design and manage data pipelines utilizing technologies like Spark, Hadoop, and DBT.
• Develop and maintain data solutions using Python and Scala across distributed architectures.
• Implement data persistence solutions beyond traditional RDBMS, such as Key/Value Stores and Document DBs.
• Troubleshoot environment and hosting issues within cloud-based platform services (GCP, AWS).
• Apply data analysis techniques and produce technical documentation detailing architectural decisions.

Required Skills

• 10+ years of experience in application engineering or equivalent roles.
• Expertise with Data Architect principles and modern design patterns.
• Proficiency in SQL, Python, Scala, Spark, Hadoop, and DBT.
• Hands-on experience with Google Big Query, Trino, and Starburst.
• Working knowledge of Agile methodologies using JIRA.
• Familiarity with API services, distributed architectures, and network security.
• Experience with data analysis and strong technical writing abilities.
• Familiarity with non-RDBMS persistence layers (e.g., Object Storage).
• Experience with Google Cloud Platform and Amazon Web Services.

Preferred Skills

• Exposure to full-stack development.
• REST API design and development best practices.

Key Skills

Education

Bachelor's degree