Cloud & Data Tools Engineer
Required skills
- Docker
- Google Cloud Platform
- Cloud Run
- BigQuery
- Streamlit
- Python
- Service Accounts
- IAM Permissions
- Data Stewardship
- Application Deployment
Nice to have
- JupyterLab
- Cloud-based data-analysis environments
Role summary
Ford Motor Company is seeking a Cloud & Data Tools Engineer to join their team in Dearborn, MI. This role focuses on building and deploying applications on Google Cloud Platform (GCP), supporting data team members with Streamlit applications, and managing cloud environments. Key responsibilities include managing permissions, service accounts, and data access requests, ensuring adherence to security and governance processes. The engineer will also be involved in application packaging, deployment, troubleshooting, and documenting procedures to improve sustainability and efficiency. Success is measured by enabling team access, maintaining dependable development environments, simplifying application deployment, and ensuring responsible access management.
- 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.
Responsibilities
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.
Qualifications
- 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.
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