Data Architect

Choosing where to start and grow your career has a major impact on your professional and personal life, so it’s equally important you know that the company that you choose to work at, and its leaders, will support and guide you. With a wide variety of people, global locations, technologies and products, 3M is a place where you can collaborate with other curious, creative 3Mers.

As a Data Architect, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative people around the world. Here, you will make an impact by:

• Defining and governing enterprise data architecture standards that enable scalable, reliable, and reusable data products.

• Guiding architectural design for domain-aligned data products, ensuring alignment with enterprise and platform standards.

• Establishing reference architectures and best practices for data ingestion, transformation, analytics, and secure access.

• Partnering with Data Platform Engineering to align data product patterns with supported AWS and analytics platform capabilities.

• Ensuring architectural decisions account for data quality, lineage, observability, performance, scalability, and cost efficiency.

To set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications:

• Bachelor’s degree or higher (completed and verified prior to start)

• Minimum twelve (12) or more years of experience in data engineering, analytics engineering, or data architecture.

• Experience designing and governing data solutions on cloud platforms, with preference for AWS.

• Strong knowledge of Lakehouse or hybrid data architectures, SQL-based transformation, and analytical data platforms.

• Proven ability to influence and guide engineering teams without direct reporting authority.

Additional qualifications that could help you succeed even further in this role include:

• Master’s degree in computer science, Data Engineering, Information Systems, or a related discipline from an accredited institution

• Experience operating within a data product or domain-aligned delivery model

• Familiarity with data governance, observability, lineage, and cost management practices

• Experience working in a large, global enterprise environment

• Strong collaboration, communication, and technical leadership skills

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