Principal Data Platform Architect

We are currently seeking a Principal Data Platform Architect to lead the development of our high-performance data platform. This role is crucial for enhancing our data capabilities across analytics, integration, storage, ML/AI models, data observability, and product cataloging. If you're passionate about creating robust, cost-efficient, and user-friendly data solutions, we want you on our team.

If you think you'll like to manage the following responsibilities at higher standards:

• Develop a comprehensive data platform architecture, supporting the concepts of data products and services that enable our domain-specific needs while ensuring organizational cohesion.
• Collaborate with data platform teams, enterprise architecture community, and domain-specific teams to align data strategies and ensure smooth integration and interoperability across systems and services.
• Design data solutions with a focus on cost efficiency and ease of use, making our data platform accessible and beneficial to a wide range of user groups.
• Lead the development of our Data Observability framework, ensuring that data assets, services, and products are easily discoverable and meet the needs of different stakeholders.
• Investigate and incorporate cutting-edge data services and technologies to boost the functionality and efficiency of our data platform, in line with our strategic objectives.
• Maintain high standards of data governance and quality, ensuring the integrity, security, and compliance of our data across all initiatives.
• Foster a culture of continuous learning and knowledge sharing, promoting best practices in data management and encouraging cross-team collaboration.

and if you have/are:

• Proven experience in data platform architecture, ideally with a background in areas such as data analytics, integration, storage, and ML/AI models.

· Strong ability to work collaboratively with various teams to align data strategies and solutions.

· Demonstrated track record of designing user-friendly, cost-effective data solutions.

· Deep understanding of data observability principles and the ability to develop strategies that enhance data accessibility and utility.

· Commitment to upholding strict data governance and quality standards.

· Excellent communication skills and a natural ability to promote a learning and sharing environment.

· A minimum of 10 years of experience in working with architecting data solutions supporting business processes in the tier 1 automotive or OEM industry.

Job Type: Full-time

Pay: Up to $180,000.00 per year

Benefits:

• 401(k)
• Dental insurance
• Health insurance

Schedule:

• 8 hour shift

Ability to Relocate:

• Ogden, UT: Relocate before starting work (Required)

Work Location: In person