Google Cloud Architects
Company websitejobsforhumanity.com (Jobs for Humanity, opens in new tab)
Base salary $142K to $211K
Employer-published annual base salary, USD. Advertised base range in United States
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationUnited States
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (2 min ago) · observed since
About this job
Company Description
Jobs for Humanity is collaborating with Upwardly Global and with Google to build an inclusive and just employment ecosystem. We support individuals coming from all walks of life.Company Name: Google
Job Description
Minimum qualifications: 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.
Preferred qualifications: Experience with database management tools for backups, recovery, snapshot management, sharding, partitioning and as well as database performance tuning. Experience working with cloud databases such as RDS, Aurora, DynamoDb, ElastiCache, CloudSQL, Datastore, Firestore, or Cloud Spanner. Experience with database technologies such as PostgreSQL, MySQL, SQL Server, Oracle. Knowledge of database administration techniques including storage, clustering, high availability, disaster recovery, security, logging, monitoring and auditing. Strong SQL skills with deep query troubleshooting knowledge such as isolating blocks of poor performing SQL, determining root cause, and developing remediation actions.
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 US 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.
Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions.
The US base salary range for this full-time position is $142,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities:
- 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.
Source: Jobs for Humanity on SmartRecruiters · View original posting (opens in new tab)
This listingGoogle Cloud Architects$142K to $211K
Product Research Analysts$141K to $296K
Machine Learning Engineers$136,800 to $280,000
Machine Learning Managers$149,040 to $311,600
NPI Program Managers$130,600 to $179,630
Corporate Counsels$154K to $230K
Optical Systems Engineers$120K to $130K
Chart as a table
| Role | Published base |
|---|---|
| Google Cloud Architects (this listing) | $142K - $211K |
| Product Research Analysts | $141K - $296K |
| Machine Learning Engineers | $136,800 - $280,000 |
| Machine Learning Managers | $149,040 - $311,600 |
| NPI Program Managers | $130,600 - $179,630 |
| Corporate Counsels | $154K - $230K |
| Optical Systems Engineers | $120K - $130K |
Observed changes
- First observed on the employer's board
- fields changed
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2024-09-23
Where this pay comes from
Location as the employer wrote it: Atlanta, GEORGIA, United States
The US base salary range for this full-time position is $142,000-$211,000 + bonus + equity + benefits. Our salary ranges are determin
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
