Job DescriptionWe are looking for a skilled GCP Data Engineer to join our EPEO - Data and AI Ops team. In this role, you will play a critical part in designing, developing, and maintaining our Security Data Lake and associated data products using GCP Cloud platform
Responsibilities- Design, develop, and maintain robust data pipelines using GCP native services.
- Build and manage data quality frameworks to ensure the integrity and reliability of security data assets.
- Integrate diverse data sources and security tools via APIs to centralize security oversight.
- Optimize database performance, query efficiency, and storage costs within Google BigQuery.
- (Preferred) Utilize Cribl to route, shape, and enrich incoming security telemetry and log data.
- Develop, deploy, and monitor automated data pipelines (ETL/ELT) using Python, SQL, and GCP services (such as Cloud Functions, Cloud Scheduler, and Dataflow).
- Manage and optimize schema designs, partitioning, and clustering in Google BigQuery to ensure cost-effective and high-performance querying.
- Implement and scale data quality and auditing frameworks using GCP Dataplex with centralized rules metadata configuration.
- Design and maintain robust API integrations (e.g., EAMS, TrendMicro, and other threat detection platforms) to ingest critical security logs.
- [Preferred/Good to Have] Configure and manage Cribl Stream pipelines (sources, destinations, routes, and functions) to parse, mask, enrich, and route security logs.
- [Preferred/Good to Have] Implement log reduction strategies in Cribl to optimize data ingestion and lower downstream storage costs.
- Partner with security teams to deliver actionable data products, reporting views, and tactical dashboards to prevent service outages.
QualificationsEducation: Bachelor's degree in Computer Science, Computer Engineering, Data Science, Information Technology, or a related technical field (or equivalent combination of education and experience).
Experience: 8+ years of professional experience in Data Engineering, Cloud Data Warehousing, or software development.
Cloud Expertise: 5+ years of hands-on experience designing and implementing production-grade solutions on Google Cloud Platform (GCP), specifically utilizing native services such as Google BigQuery, Cloud Run/Functions, and Cloud Storage, Dataflow, PubSub
Programming & Querying: High proficiency in Python and advanced SQL for building, optimizing, and troubleshooting complex ETL/ELT pipelines.
Collaboration: Excellent written and verbal communication skills, with a proven ability to collaborate effectively with cross-functional teams in an agile environment.
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!
This position is a salary grade 7-8 and ranges from $99,600-$192,900.
Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.
For more information on salary and benefits, click here: https://fordcareers.co/GSR
Visa sponsorship is not available for this position.
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.
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