protolabs

Data Architect

🇺🇸 Maple Plain, US На місці Опубліковано Кві 1, 2026

ЛокаціяMaple Plain, US

Формат роботиНа місці

Опубліковано01 квітня 2026 р.

Остання перевірка06 травня 2026 р.

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.