Platform Software Engineer

Ford Motor • Dearborn, MI

1d • Hybrid

About The Position

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation. Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics, and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making.

Requirements

• Master’s degree or foreign equivalent in Computer Science, Electrical Engineering, Computer Engineering, Software Engineering, Data Engineering, or related field and 5 years of experience in the job offered or related occupation.
• 5 years of experience with designing and implementing enterprise data solutions, including managing data catalogs, and writing optimized SQL queries and procedures across databases, including PostgreSQL, MSSQL, and Oracle.
• 5 years of experience developing web-based applications using Java Spring Boot, JavaScript, TypeScript, and Angular frameworks.
• 5 years of experience applying data governance, security best practices including row-level-access and column-level access controls in cloud environments.
• 5 years of experience leveraging code quality and security tools, including SonarQube, 42 Crunch, and FOSSA, to ensure secure and maintainable software development.
• 5 years of experience automating data platform processes for operational efficiency and reliability.
• 5 years of experience utilizing GitHub for source code management and collaboration, creating data visualization dashboards using Qlik and Looker for monitoring system performance, and troubleshooting using Dynatrace.
• 4 years of experience leveraging DevOps and containerization technologies (Docker and Podman) to build, deploy, and manage cloud-native microservices and data pipelines.
• 4 years of experience designing, implementing, and maintaining Continuous Integration and Continuous Delivery (CI/CD) pipelines using Tekton, Cloud Build, and Jenkins to automate testing and multi-cloud deployments.
• 4 years of experience programming backend services using Java, Spring Boot, and J2EE frameworks and architecting RESTful APIs and microservices aligned with Service-Oriented Architecture (SOA) principles.
• 4 years of experience deploying and managing solutions on Google Cloud Platform (GCP) including BigQuery, Dataflow, Pub/Sub, Cloud Functions, Cloud Run, and Vertex AI.
• 4 years of experience applying Agile methodologies using JIRA.

Responsibilities

• 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.

Benefits

• Immediate medical, dental, and prescription drug coverage
• Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Vehicle discount program for employees and family members, and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year's Day
• Paid time off and the option to purchase additional vacation time.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior