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Strong employer brand and metro location increase competition, but seniority and automotive specialization limit applicant pool.
Requires automotive domain experience and GCP data engineering leadership, limiting cross-industry transferability.
Multiple explicit filters (8+ years, automotive domain, Big Data, GCP, leadership) make selection stringent.
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Lead and manage a team of data engineers responsible for designing, developing, and maintaining scalable and reliable data pipelines and platforms supporting PLMA Analytics.
Own data engineering standards, ensuring data quality, governance, security compliance, and efficient resource utilization in alignment with Ford's Data Hub strategy.
Drive technical decisions including incident resolution, architecture improvements, and integration of AI/ML tooling to optimize workflows and data delivery.
Bachelor’s degree in Computer Science, IT, Data Analytics, or related field.
8+ years experience in complex data environments with increasing responsibility.
5+ years leading software or data engineering teams focused on project delivery and team development.
5+ years automotive industry or related product development experience; strong GCP data engineering expertise; proficiency in Python or Scala and SQL; experience with big data tools and CI/CD pipelines.
Experienced manager with strong hands-on technical expertise in cloud-based data platform development, specifically on Google Cloud Platform.
Demonstrates strategic leadership in standardizing data engineering practices and driving engineering excellence with metrics (e.g., DORA, latency targets).
Works effectively with cross-functional stakeholders to deliver compliant, high-quality data solutions and leverage AI technologies for data engineering optimizations.