Senior Data Engineer - Cybersecurity

About this role

## Overview

At Ford, you’ll work on ideas that matter, alongside passionate people who want to make a global impact. Together, we’re shaping the next era of transportation—grounded in purpose, driven by progress. Make your move.

• Job Type: Full time
• Work Type: Remote

We 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.

The core requirement for this role is deep technical expertise in Google Cloud Platform (GCP) and hands-on experience building scalable cloud data pipelines (ETL/ELT). Additionally, experience with Cribl (for log stream routing, shaping, and reduction) is considered a strong asset and a major plus

What you will do:

• 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...