Platform Software Engineer

Overview

Platform Software Engineer - positions offered by Ford Motor Company (Dearborn, Michigan). This is a hybrid position requiring work from home and from the anticipated worksite. Employee must live within a reasonable commuting distance from the anticipated worksite.

• Design and Build Data Pipelines:
  Architect, develop, and maintain scalable data pipelines and microservices that support real-time and batch processing on GCP.
• Service-Oriented Architecture (SOA) and Microservices:
  Design and implement SOA and microservices-based architectures to ensure modular, flexible, and maintainable data solutions.
• Full-Stack Integration:
  Leverage your full-stack expertise to contribute to the seamless integration of front-end and back-end components, ensuring robust data access and UI-driven data exploration.
• Data Ingestion and Integration:
  Lead the ingestion and integration of data from various sources into the data platform, ensuring data is standardized and optimized for analytics.
• GCP Data Solutions:
  Utilize GCP services (Big Query, Dataflow, Pub/Sub, Cloud Functions, etc.) to build and manage data platforms that meet business needs.
• Data Governance and Security:
  Implement and manage data governance, access controls, and security best practices while leveraging GCP’s native row- and column-level security features.
• Performance Optimization:
  Continuously monitor and improve the performance, scalability, and efficiency of data pipelines and storage solutions.
• Collaboration and Best Practices:
  Work closely with data architects, software engineers, and cross-functional teams to define best practices, design patterns, and frameworks for cloud data engineering.
• Automation and Reliability:
  Automate data platform processes to enhance reliability, reduce manual intervention, and improve operational efficiency.