Join Malala Fund as a Data Manager to lead backend data systems and make a global impact in girls' education.
Overview
£110700 - £125000
Washington, District of Columbia (Hybrid)
Organisation summary Malala Fund is an international, non-profit organization that fights for girls' education.
Role Summary
- Lead backend data systems as the core data infrastructure owner.
- Maintain and evolve database architecture, ETL pipelines, and integrations.
- Support fundraising, finance, and organizational operations across 100+ platforms.
- Enhance scalability, reliability, and sustainability of data pipelines.
- Translate complex data into actionable insights for revenue tracking and forecasting.
- Build dashboards and support performance analysis.
- Operate within a complex, multi-system data environment with Salesforce, Tableau, and third-party platforms.
Role Requirements
- Strong backend data engineering skills (SQL, Python, ETL).
- Experience with data modeling and integration management.
- Ability to translate technical systems for business stakeholders.
The Data Manager is Malala Fund’s lead backend data systems owner, responsible for maintaining and evolving the organization’s core data infrastructure. This includes database architecture, ETL pipelines, and integrations across 100+ platforms that support fundraising, finance, and organizational operations. It includes not only maintaining existing data pipelines, while also re-architecting and rewriting data pipelines, scripts, and integration logic over time to enhance scalability, reliability, and long-term sustainability. This work directly supports Malala Fund’s global fundraising operations, enabling accurate revenue tracking, forecasting, and donor insights across a diversified, multi-entity portfolio. This role translates complex data into actionable insights, build dashboards, and support revenue forecasting and performance analysis. This is a highly technical role requiring strong backend data engineering skills (e.g., SQL, Python, ETL pipelines, and data modeling), combined with the ability to operate as a translator between technical systems and business stakeholders. This role operates within a complex, multi-system data environment, including Salesforce (Nonprofit Success Pack, Sales Cloud, Service Cloud, Marketing Cloud Growth, and Data Cloud), Tableau, and a wide range of third-party donation platforms and payment processors (e.g., PayPal, Stripe, Shift4, Benevity, Give Lively, Donorbox), requiring strong integration and data pipeline management capabilities.