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Day 6
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From 607 similar postings that came down. Coming down is not always a hire.
Palo Alto, CA, US
Actively hiring, first seen by us 6 days agoFor a detailed look at our benefits, click here: Benefit Summary This role is on site in Dearborn, MI, you will be required on-site 4x a week. *This role is open to ONSITE Palo Alto AND Dearborn candidates*Read the full posting
Employment type in the employer’s posting: FULL_TIMEFrom the employer’s posting
*Visa Sponsorship IS NOT provided for this specific role*
Build and deploy Docker images and run apps on Google Cloud, including Cloud Run
Help deploy and maintain Streamlit apps and debug basic Python issues
Troubleshoot permissions and service-account access for Google Cloud and FCP resources
Submit and track data-access requests with GDIA data stewards and owners
Support sandbox environments and document recurring procedures and known issues
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.
Manage and troubleshoot permissions exceptions and service-account access for Google Cloud and Ford Cloud Portal (FCP) resources
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.
Support Google Cloud sandbox environments used by the team; investigate common issues and coordinate with cloud support teams when needed.
Actively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 6
Similar jobs usually come down between day 5 and day 57.
From 607 similar postings that came down. Coming down is not always a hire.
16 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
* 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. What success looks like:
* Team members can get access and get unblocked: data requests and cloud-access issues are routed, tracked, and resolved through clear, dependable processes. * Development environments are dependable: team sandboxes and analysis tools are maintained, and recurring problems are documented and addressed efficiently. * Applications are easier to deploy and support: team members receive practical help packaging and deploying internal applications, with common steps made repeatable. * Access is handled responsibly: service accounts, permissions, and data-stewardship activities follow the appropriate security and governance expectations. * Cross-team work is effective: requests involving GDIA, FCP, or IT partners are communicated clearly and followed through to resolution. * Support becomes more sustainable: recurring fixes and operational knowledge are captured, reducing avoidable one-off troubleshooting. * 3+ years experience in: * Experience with Google Cloud Platform (GCP), particularly Cloud Run and BigQuery. * Experience developing or supporting Streamlit applications. * Familiarity with JupyterLab and cloud-based data-analysis environments. * Experience supporting sandbox environments, service accounts, IAM permissions, or cloud access workflows. * Experience working with data stewards, data owners, or enterprise IT and cloud-support teams. * Experience packaging and deploying internal web applications or supporting a shared team application platform. You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
Complete your application on ford.eightfold.ai. The employer’s form will show what is required.
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We file this job under Data Governance, by the work the posting describes.
Data governance staff keep a company's data accurate, documented and used within the rules. They agree what key fields mean, set up quality checks, track who owns each dataset and look after master data.
Postings ask for SQL, a governance tool such as Collibra or Informatica, knowledge of privacy and data rules, and a lot of work with other teams.
A data engineer builds the systems that move data; governance staff set and check the standards that data has to meet.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Palo Alto, CA, US
For a detailed look at our benefits, click here: Benefit Summary This role is on site in Dearborn, MI, you will be required on-site 4x a week. *This role is open to ONSITE Palo Alto AND Dearborn candidates*
*This role is open to ONSITE Palo Alto AND Dearborn candidates* *Visa Sponsorship IS NOT provided for this specific role* *Relocation assistance IS provided for this specific role* Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.