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Remote, Oregon, United States
Remote only
Risepoint is an education technology company that provides world-class support and trusted expertise to more than 100 universities and colleges. We primarily work with regional universities, helping them develop and grow their high-ROI, workforce-focused online degree programs in critical areas such as nursing, teaching, business, and public service. Risepoint is dedicated to increasing access to affordable education so that more students, especially working adults, can improve their careers and meet employer and community needs.
The Impact You Will Make
As Director, Data Products & Engineering, you will own the execution, delivery, and continuous evolution of data as a product on our modern Databricks platform. You will operate as a hands-on technical leader while driving a product-oriented approach to data—ensuring that data assets are not only built, but are usable, valuable, and aligned to business outcomes.
Working closely with the Sr. Director of Enterprise Data Platforms, you will translate strategic priorities into scalable, high-impact data products that power analytics, AI, and decision-making across the organization. You will lead a team of data engineers while establishing strong delivery practices, enabling consistent, high-quality outcomes that support Risepoint’s mission.
You will also help enable a data mesh-oriented approach by supporting domain-aligned data ownership and empowering teams to deliver high-quality, trusted data products at scale.
Own the end-to-end lifecycle of data products, from concept through delivery and continuous improvement
Establish product-oriented ways of working (backlogs, prioritization, iteration, feedback loops)
Support a data mesh approach by enabling domain teams to own and manage their data products
Lead delivery of scalable data products and platform capabilities
Guide data modeling, semantic layers, and best practices
Lead and mentor a team of data engineers
Partner cross-functionally to deliver high-value data solutions
Drive adoption of AI-assisted development and modern practices
Manage multiple initiatives and communicate progress, risks, and dependencies
What Success Looks Like:
Delivers high-quality, scalable data products with strong adoption
Establishes a product-oriented delivery model
Enables domain ownership in a data mesh model
Builds a high-performing team
Translates strategy into execution effectively
How Impact Will be Measured:
Delivery of data products improving accessibility and time-to-insight
Increased adoption of data products
Standardized delivery practices
Enablement of domain teams in a data mesh model
Improved team performance and stakeholder satisfaction
8–12 years of experience in data engineering, data products, or software engineering
3–5 years leading teams and delivering initiatives
Experience treating data as a product
Strong product mindset and prioritization skills
Experience in data mesh or domain-based environments preferred
Strong data modeling and modern data practices experience
Bachelor’s degree or equivalent practical experience
Experience That's Great to Have:
Experience scaling product-oriented data teams
Experience with AI-assisted development
Familiarity with Databricks ecosystem tools
Experience working with business stakeholders on data products
Risepoint is an equal-opportunity employer and supports a diverse and inclusive workforce.