Data Architect

Data Architect

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together.

At Ford, we're all a part of something bigger than ourselves. Are you ready to change the way the world moves?

Enterprise Technology plays a critical part in shaping the future of mobility. If you're looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience and improve people's lives, this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are.

The Data Architecture role entails offering technical leadership and Architecture Strategy guidance for essential GCP Cloud, AI/ML & Analytics projects, utilizing cutting-edge technologies.

The primary focus of this position is to serve as the data modeling expert in SAP Power Designer and to collaborate with business teams specializing in Data Factory, Data Science, and Analytics to establish a resilient and adaptable architecture that drives and supports enterprise analytics foundational platforms. In addition, this position involves partnering with product teams and end users of the analytic platform to provide data architecture leadership and consultancy.

In this position...

This is an opportunity to work on large, complexed projects utilizing cutting-edge technologies on a high-profile team.

Provide technical leadership and Architecture Strategy guidance for essential GCP Cloud, AI/ML & Analytics projects.

Data Architect for GDIA. The Data Architecture role entails offering technical leadership and Architecture Strategy guidance for essential GCP Cloud, AI/ML & Analytics projects, utilizing cutting-edge technologies.

The primary focus of this position is to serve as the data modeling expert in SAP Power Designer and to collaborate with business teams specializing in Data Factory, Data Science, and Analytics to establish a resilient and adaptable architecture that drives and supports enterprise analytics foundational platforms. In addition, this position involves partnering with product teams and end users of the analytic platform to provide data architecture leadership and consultancy.

What you'll do...

Design and implement efficient and scalable data models for complex business requirements.

Develop and maintain conceptual, logical, and physical data models.

Collaborate with stakeholders to understand data requirements and translate them into data models.

Optimize database performance by fine-tuning data models and database structures.

Ensure data models comply with data governance and security standards.

Provide guidance and support to the development team on data modeling best practices.

As member of GCP Big Query COE team in optimizing queries, rewriting SQLs, reducing slot time, and improving query execution efficiencies.

Offer guidance on data modeling and provide expert level SAP Power Designer support to product data modeling teams.

Maintain best practices, standards, guidelines, templates, tips, tricks, and techniques for data architecture, including landing, transformation, and curation.

What you'll do...

Design and implement efficient and scalable data models for complex business requirements.

Develop and maintain conceptual, logical, and physical data models.

Collaborate with stakeholders to understand data requirements and translate them into data models.

Optimize database performance by fine-tuning data models and database structures.

Ensure data models comply with data governance and security standards.

Provide guidance and support to the development team on data modeling best practices.

As member of GCP Big Query COE team in optimizing queries, rewriting SQLs, reducing slot time, and improving query execution efficiencies.

Offer guidance on data modeling and provide expert level SAP Power Designer support to product data modeling teams.

Maintain best practices, standards, guidelines, templates, tips, tricks, and techniques for data architecture, including landing, transformation, and curation.