DataEngineeringManager

_**Job Description:**_ Cambria is looking for a hands-on Data Engineering Manager to lead the engineering function and empowers decision-making with reliable, scalable, accessible data. In this role, you will serve as both a technical contributor and a people leader: setting the engineering strategy for the pod, hiring and developing the team that builds it, and partnering closely with data scientists, BI engineers, and the Analytics Product Owner to turn complex business questions into data products that ship. You move easily between architecture conversations and code review, executive readouts and sprint plans. You set the technical bar for quality, scalability, and security. You take smart risks, you protect your team’s focus, and you make sure they have what they need to do the best work of their careers. **This is an on-site position. Applicants must reside in the Twin Cities area. We are unable to offer relocation assistance or sponsorship for this role. ****Essential Duties & Responsibilities**** * Lead the team. Actively recruit, hire, mentor, and grow data engineers at every level. Set clear goals. Foster a culture of ownership, curiosity, and inclusion. Create the conditions for people to do the best work of their careers. * Drive engineering strategy. Design and oversee the data pipelines, warehouse models, and ELT processes that fuel GTM analytics. Collaborate with data architects on trade-offs — performance, cost, complexity, maintainability. * Shape the stack. Partner with Analytics and Architecture leaders on critical decisions about Snowflake, AWS, dbt, ingestion tooling, and BI platforms. Set the technical bar for quality, scalability, observability, and security. * Translate business needs into engineering plans. Work closely with Data Science, BI, Market Research, and the Analytics Product Owner to turn complex business questions into pipelines, reports, and data products that ship. * Establish the standards. Define and incorporate best practices