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Ford Platform Software Engineer 
United States, New York 
129265068

27.03.2025

As a Cloud Data Platform Specialist, you will be a vital member of our Enterprise Data Platforms team, tasked with driving the evolution and optimization of our data capabilities on the Google Cloud Platform (GCP). This role is central to ensuring that our data infrastructure is scalable, efficient, and aligned with the latest technological advancements.

You will be responsible for designing and implementing cutting-edge data solutions that leverage a blend of cloud-native technologies, service-oriented architectures (SOA), and microservices. Your role will require a comprehensive understanding of both front-end and back-end development to ensure seamless integration and operation of the platform's components.

In this position, you will work closely with cross-functional teams, including data architects, software engineers, and business stakeholders, to translate complex business requirements into robust and scalable data solutions. Your full-stack expertise will be crucial in facilitating the development of user-friendly interfaces and data exploration tools, ensuring that users across the organization can access and interact with data efficiently and effectively.

Moreover, you will lead efforts in data ingestion, integration, and governance, ensuring that data is standardized, secure, and optimized for analytics. This includes implementing GCP’s native security features and best practices to protect sensitive information. Your role will also involve ongoing performance monitoring and optimization to enhance the scalability, efficiency, and reliability of data pipelines and storage solutions.

Additionally, you will champion automation initiatives to streamline platform processes, reduce manual intervention, and improve overall operational efficiency. Your ability to adapt to new technologies and methodologies will be essential in fostering innovation and ensuring that our data platform remains at the forefront of industry standards.