Software Architect

at  Ford Motor Company

Do you believe data tells the real story? We do!
Global Data Insight & Analytics (GDI&A) is Ford’s Data Analytics organization and Data Factory Engineering, and Operations (DFEO) is GDI&A’s critical team for making data available to the enterprise at scale and delivering on Ford’s plan to become a data-first company. Leveraging our long-term relationship with Google, Ford’s Data Factory can provide near unlimited and unparalleled scale by leveraging the public cloud to capture, ingest, transform, curate, and publish data products for stakeholders.
The Data Factory (DF) provides centralized access, governance, and discoverability to data consumers looking to build analytical tools, develop new AI/ML models, create data-dependent software offerings, and turn data into actionable insights and customer value. Ford’s data first plan, including the Data Factory, remains a strategic priority for leadership and the company.
We are looking for a GCP Software Architect in the Data Factory Team. In this role, you will have the exciting opportunity to work with Data Factory team to define Architecture Standards, Process and Best Practices as well as define process maps to guide users to use the Data Factory functionality effectively. In addition you will get to use cutting-edge technologies such as GCP (Google Cloud Platform), BigQuery, DataProc, CloudRun, Pub/Sub, Google Cloud Storage, Terraform, CloudBuild and Python as well as non-Google native and on-premise tools such as Astronomer and Qlik Replicate.

• Work closely with Product Owners, Product Managers, Data Factory Leaders to understand the business needs and deliver solutions.
• Develop, maintain and enforce architecture standards, process and best practices across Data Factory
• Provide Architectural support for platform teams to build applications in GCP
• Ensure all architectural documentation is up-to-date and accurately reflects current practices and standards
• Provide technical leadership and support throughout development life cycle
• Collaborate with Enterprise Architecture and Data Architecture teams for guidance
• Design and document comprehensive process maps to streamline and enhance application and business processes
• Identify areas for improvement and implement solutions to optimize applications, workflow and operational efficiency