Data Solutions Architect

hace 1 mes


Naucalpan de Juárez, México Ford Motor Company A tiempo completo

As a Data Solutions Architect at Ford Motor Company, you will be responsible for designing and implementing scalable data engineering solutions using the Google Cloud Platform. With a strong background in computer science and experience in developing data pipelines, warehouses, and mart development, you will drive evidence-based decision-making by providing insights from data.

Ford Motor Company is committed to creating a diverse workforce and offers an estimated annual salary of $140,000-$160,000 based on location and experience. As a data engineer, you will work with cross-functional teams to develop full-stack data engineering solutions utilizing both structured and unstructured data, collaborating closely with stakeholders to understand business needs and technical requirements.

The ideal candidate will have 5+ years of experience in data solution development and delivery, with a deep understanding of data service ecosystems, including data warehouses, lakes, metadata, meshes, fabrics, and analytical use cases. A strong grasp of cloud-first architecture, encapsulation, repeatability, automation, and auditability is also essential.

Key responsibilities include:

  1. Designing and implementing data engineering solutions using standards, templates, patterns, and best practices in the Google Cloud Platform.
  2. Collaborating with the Data Factory Engineering Organization, Data Architecture, PEM, GDIA, Information Technology, and Data Consumers to drive data engineering capabilities, product design, and proof of concepts.
  3. Creating high-quality, elegant data engineering solutions that focus on cloud-first, encapsulation, repeatability, automation, and auditability.

The successful candidate will have excellent communication skills, both verbal and written, for internal and external team members, and a user experience advocacy mindset through empathetic stakeholder relationships. Desired skills include extensive knowledge of GCP offerings, bundled services, especially those associated with data operations, as well as experience optimizing data solutions and data science/analytical workflows.



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