Role Overview
Join Ford Motor Company’s expanding Telemetry and Observability team to build scalable data pipelines and architect connected data solutions. Collaborate across teams to develop a wider data architecture plan and work with data analytics stakeholders to streamline data acquisition and presentation. Contribute to the design and building of a Semantic Data layer and lead the integration of new cloud technologies and AI tools.
What You Will Do
Collaborate with teams to develop data architecture plans, work with data stewards to source and understand data, provide analysis of connected vehicle data, contribute to the design of data science and Machine Learning Operations (MLOps) pipelines, and lead the integration of new cloud technologies and AI tools.
Why It Might Be a Fit
The ideal candidate will have a deep understanding of vehicle engineering problems, excellent technical interpretation skills, and the ability to translate technical work to various stakeholders. Experience with AI Agentic Solutions, data quality systems, and cloud environments like Google Cloud Platform (GCP) and Amazon Web Services (AWS) is a plus.
Requirements
- Bachelor’s degree in Computer Science or related field
- 5+ years of experience in data engineering or related field
- Experience with AI Agentic Solutions, data quality systems, and cloud environments like Google Cloud Platform (GCP) and Amazon Web Services (AWS)
- Excellent technical interpretation skills and ability to translate technical work to various stakeholders
- Experience with data quality systems and data pipelines
Benefits
- Competitive salary
- Equity in the company
- Health insurance
- 401(k) plan
- Paid time off
- Professional development opportunities
To apply for this job please visit efds.fa.em5.oraclecloud.com.

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