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Risepoint

Director, Data Products & Engineering

Reposted 2 Hours Ago
Remote
Hiring Remotely in US
120K-150K Annually
Senior level
Remote
Hiring Remotely in US
120K-150K Annually
Senior level
As Director of Data Engineering, you will lead teams to deliver data solutions on Databricks, overseeing data architecture, pipeline development, and AI integration while ensuring accountability and continuous improvement.
The summary above was generated by AI

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.
 

How You Will Bring Our Mission to LifeWhat You Will Do:
  • 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

What You'll Bring to the TeamExperience That Matters Most:
  • 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.

Top Skills

Spark
AWS
Azure
Ci/Cd
Databricks

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