DataKind

Data Engineer

• Lead the technical onboarding of partner institutions onto UDTS, designing and building the integrations (APIs, pipelines, etc.) needed to connect their existing data systems for seamless ingestion.
• Collaborate on-site with institutional data teams to configure and customize UDTS front-end dashboards — working through requirements like which fields to surface, how data should aggregate, and how to make the platform most relevant to each institution's specific workflows and users.
• Support institutions in securely sharing data and implementing governance protocols.
• Communicate technical requirements, timelines, and processes with external partners in accessible, solutions-oriented ways — and bring the patience and people skills to make those conversations productive.
• Design, build, and maintain scalable data pipelines and architectures to support education-focused data products.
• Develop robust APIs and integrations to facilitate seamless data exchange across multiple institutional systems and data providers.
• Optimize data ingestion, transformation, and validation processes for reliability, transparency, and performance.
• Ensure all data systems comply with DataKind’s governance, privacy, and security standards.
• Produce clear, reusable code and comprehensive documentation for both technical and non-technical audiences.
• Collaborate with team members within the technology team to set engineering standards and guide data infrastructure strategy.
• Partner with data engineers and scientists to operationalize models and analytics pipelines into production-ready systems.
• Collaborate with Customer Success, Research, Product, and Implementation teams to ensure technical design aligns with user and partner needs.
• Contribute to the continuous improvement of internal tooling, workflow automation, and best practices.

Account Manager

• Serve as the primary point of contact and trusted advisor for each lighthouse institution throughout their multi-year engagement with DataKind.
• Build and maintain strong relationships with institutional leadership — including IR Directors, Chief Data Officers, Provosts, and Presidents — grounded in trust, responsiveness, and deep understanding of each partner's context and goals.
• Conduct regular check-ins and relationship health reviews to stay ahead of any concerns before they become problems.
• Own the renewal process for each partnership, tracking engagement signals and proactively addressing retention risks.
• Develop a clear understanding of each institution's evolving needs and ensure DataKind's offerings continue to deliver meaningful value.
• Partner with internal stakeholders to make the case for renewal and document partnership outcomes that support it.
• Coordinate with DataKind's implementation and product teams to ensure smooth onboarding for new partners, acting as the institutional advocate throughout.
• Translate partner needs and feedback into clear briefs for internal teams.
• Help institutions understand what's available to them, connect them to resources, and remove barriers to adoption — without necessarily being the one solving technical problems directly.
• Facilitate Learning Circles and cohort activities among lighthouse institutions, creating opportunities for peer connection and shared problem-solving.
• Coordinate cross-institutional knowledge sharing and help surface best practices that can inform broader sector adoption.
• Serve as the voice of your partners internally. Synthesize themes across accounts and bring structured feedback to Product and Engineering on institutional needs, usability issues, and opportunities for improvement.
• Contribute to the development of scalable account management processes and playbooks as DataKind grows.