Google Cloud Architects

About The Job

As a Cloud Data Engineer, you will guide the Air Force on how to ingest, store, process, analyze, and explore/visualize data on the Google Cloud Platform. You will work on data migrations and transformational projects, and with customers to design large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform challenges. You will travel to the customer site to deploy solutions and deliver workshops to educate and empower customers.

Additionally, you will work closely with Product Management and Product Engineering to build and constantly drive excellence in our products.

Must be a U.S. Citizen to meet customer and compliance requirements, including potential access to classified information and have the ability to obtain a U.S. Government Top Secret (TS) security clearance.

• Be a trusted technical advisor to the Air Force and solve complex data challenges.
• Analyze on-premises and cloud database environments and consult on the optimal design for performance and deployment on Google Cloud Platform.
• Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders.
• Travel up to 30% of the time in-region for meetings, technical reviews, and onsite delivery activities.

• Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 6 years of experience with data migration strategies and moving production systems either in on-premise/data center environments or migration to cloud scenarios.
• 6 years of experience in writing software in one or more languages such as Java, Python, or Go.
• Experience with database management tools for backups, recovery, snapshot management, sharding, partitioning, and database performance tuning.
• Experience working with cloud databases such as RDS, Aurora, Dynamo
  
  DB, Elasti Cache, Cloud
  
  SQL, Datastore, Firestore, or Cloud Spanner.
• Knowledge of database technologies such as Postgre
  
  SQL, MySQL, SQL Server, Oracle.
• Strong SQL skills with deep query troubleshooting knowledge such as isolating blocks of poor performing SQL, determining root cause, and developing remediation actions.

US base salary range: $142,000 - $211,000 per year, plus bonus, equity, and benefits.

Mid-Senior level

Full-time

Engineering and Information Technology

Technology, Information and Internet

Atlanta, GA (additional locations available)