Maple Plain, MN - Engineering – Engineering / Full-time / Hybrid Be yourself at Protolabs Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. We are an equal opportunity employer, and we are committed to building a diverse team that feels they are valued in the workplace. So do you feel you do not meet every single requirement but still intrigued? We encourage you to still apply! You can help make our company even better. We do not discriminate based on race, color, national origin, sexual orientation, gender, age, mental or physical ability, or any way you represent yourself. We strongly believe diversity makes for more successful teams. Why Protolabs? We are the leaders in digital manufacturing. We hire doers, makers, and creative thinkers who tackle our roles with an entrepreneurial spirit. Our culture is centered around meaningful work that brings new and innovative products to market at unprecedented speeds. We are a diverse team that comes from all walks of life and take pride in our team who is smart, genuine, humble, and passionate about what we do. It’s our people who fuel our creativity and make our culture feel like home. Join our team as a Data Architect! This is a fixed hybrid role on-site Tuesday, Wednesday, Thursday at HQ in Maple Plain MN The Data Architect designs and evolves the company’s enterprise data architecture to power analytics, reporting, and data-driven decision making. This role defines the technical data roadmap, builds scalable and reusable data assets, and develops semantic layers that enable meaningful insights across the organization. As a key partner to analytics and visualization teams, the Data Architect plays a critical role in the company’s transition to a modern data lake platform, ensuring data quality, performance, governance, and long-term scalability. Through this work, the role strengthens the value, reliability, and strategic impact of the company’s data and analytics capabilities. What You'll Do Define and maintain the technical data architecture roadmap, aligned with business and analytics strategy Design and implement enterprise data models, schemas, and structures supporting analytical, operational, and reporting use cases Architect, build, and maintain semantic layers and reusable data assets to enable consistent, self-service analytics and visualization Lead and contribute to the strategic migration to a modern data lake, including architecture design, data modeling standards, and integration patterns Design, develop, test, document, and support data pipelines, transformations, and data access layers of moderate to high complexity Perform and participate in data analysis, system design, and architecture reviews in preparation for new data platforms and analytics initiatives Provide technical guidance and mentorship to less experienced engineers and analysts as appropriate to responsibility level Collaborate effectively with engineers, developers, analysts, product owners, and management across disciplines Work from architectural designs and specifications using established standards and best practices to maintain and enhance existing data platforms Assist with the design and development of more complex data solutions in partnership with senior technical leaders Prepare and maintain architecture documentation, data flow diagrams, and technical standards Stay current on data architecture, analytics, and cloud platform best practices What It Takes Bachelor’s Degree in Computer Science, Software Engineering, Mathematics, Data Engineering, or a related field 10 years’ experience designing and supporting data architecture, data platforms, or analytics systems 10 years’ experience with data tools (Snowflake, Airbyte, DBT, Domo, Looker) to maintain and enhance enterprise data solutions Strong understanding of data architecture concepts, including data modeling, data warehousing, and analytical systems Experience designing semantic layers, curated datasets, and analytics-ready data structures Familiarity with data lake and modern analytics architecture Understanding of, and experience using, version control systems Experience in Microsoft-based technology environments strongly preferred Ability to collaborate effectively across engineering, analytics, and business teams Excellent work ethic, positive attitude, and strong sense of urgency What Makes You Standout Experience supporting or leading data platform or data lake migrations Experience partnering with analytics and visualization teams Exposure to data governance, data quality, or metadata management practices