Cloud & Data Tools Engineer
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Before you apply
SalaryNo pay range posted
LocationPalo Alto, CA, United States
Work modehybrid
Company size10,000+ people
First seenOct 30, 2026 · 6d ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
Build and deploy Docker container images and run supported applications on Google Cloud services, including Cloud Run
Help data team members deploy and maintain Streamlit applications, including troubleshooting deployment issues and providing light Python debugging support
Support Google Cloud sandbox environments used by the team; investigate common issues and coordinate with cloud support teams when needed
Manage and troubleshoot permissions exceptions and service-account access for Google Cloud and Ford Cloud Portal (FCP) resources, following applicable security and governance processes
Help users determine the appropriate account or service identity for a resource and investigate cases where the required service account or permission is unavailable
Coordinate with Global Data and Intelligence (GDIA) data stewards and other data owners to submit, track, and resolve data-access requests on behalf of team members
Perform data-stewardship activities for assets created or maintained by the team, including helping ensure that ownership, access, and supporting information are handled appropriately
Help prepare team web applications for the team’s internal web platform, including packaging, deployment, and basic troubleshooting
Support the team website and related applications, including resolving issues that affect usability or routine operation
Assist with data and content workflows for team communication tools, including troubleshooting image or other asset uploads to BigQuery-backed services where applicable
Document recurring procedures, known issues, and deployment or access guidance so that common tasks can be completed consistently
Work with GDIA, FCP, and relevant IT organizations to route requests, clarify requirements, and resolve issues that are outside the team’s direct control
Skills
Docker
Google Cloud
Cloud Run
Streamlit
Python
BigQuery
•
Build and deploy Docker container images and run supported applications on Google Cloud services, including Cloud Run.
•
Help data team members deploy and maintain Streamlit applications, including troubleshooting deployment issues and providing light Python debugging support.
•
Support Google Cloud sandbox environments used by the team; investigate common issues and coordinate with cloud support teams when needed.
•
Manage and troubleshoot permissions exceptions and service-account access for Google Cloud and Ford Cloud Portal (FCP) resources, following applicable security and governance processes.
•
Help users determine the appropriate account or service identity for a resource and investigate cases where the required service account or permission is unavailable.
•
Coordinate with Global Data and Intelligence (GDIA) data stewards and other data owners to submit, track, and resolve data-access requests on behalf of team members.
•
Perform data-stewardship activities for assets created or maintained by the team, including helping ensure that ownership, access, and supporting information are handled appropriately.
•
Help prepare team web applications for the team’s internal web platform, including packaging, deployment, and basic troubleshooting.
•
Support the team website and related applications, including resolving issues that affect usability or routine operation.
•
Assist with data and content workflows for team communication tools, including troubleshooting image or other asset uploads to BigQuery-backed services where applicable.
•
Document recurring procedures, known issues, and deployment or access guidance so that common tasks can be completed consistently.
•
Work with GDIA, FCP, and relevant IT organizations to route requests, clarify requirements, and resolve issues that are outside the team’s direct control.