Vimeo Principal Data Engineer 

United States, New York, New York 

959286748

Design and Implementation:

• Architect, design, and implement robust data solutions to support various business needs.
• Develop and maintain comprehensive data models, including conceptual, logical, and physical models.
• Emphasize applying design best practices to ensure efficient, scalable, and maintainable data architectures.

Cloud Technologies:

• Leverage cloud technologies to ensure the scalability and performance of our data infrastructure.
• Design and manage cloud-based databases, focusing on Google Cloud Platform (GCP).

Database Optimization:

• Optimize database performance through indexing, query optimization, and schema design.
• Implement best practices for database management and ensure high availability and reliability.
• Continually monitor and refine database performance, ensuring optimal operation and minimal downtime.

Relational Data Modeling:

• Develop and maintain relational data models to support business applications and analytics.
• Ensure data integrity, consistency, and accuracy across all systems.

Modernization and Migration:

• Lead the modernization of existing data architecture, implementing the latest technologies and methodologies.
• Plan and execute the migration of databases to Google Spanner or similar advanced database technologies.
• Ensure a smooth transition, minimizing disruption to business operations and ensuring data integrity and security.

Collaboration and Leadership:

• Work closely with cross-functional teams, including data engineers, analysts, and business stakeholders, to understand data requirements and provide solutions.
• Mentor and guide junior team members, fostering a culture of continuous learning and improvement.
• Provide technical leadership and direction in data architecture projects.

Tools and Technologies:

• Utilize CloudSQL and Google Spanner for database management and optimization.
• Stay updated with the latest trends and advancements in data architecture and cloud technologies.

Skills and knowledge you should possess:

• Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
• Experience:
• 7+ years of data architecture experience, focusing on cloud technologies.
• Proven experience with database optimization and relational data modeling.
• Experience designing and scaling highly available operational and transactional databases.
• Hands-on experience with CloudSQL and Google Spanner is highly preferred.
• Experience in modernizing data architectures and leading migrations to advanced database technologies.
• Skills:
• Strong knowledge of cloud platforms, specifically Google Cloud Platform (GCP).
• Proficiency in SQL and experience with database performance tuning.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
• Ability to work in a fast-paced, dynamic environment.