Technical Solutions Engineer

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DataKind

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2012

🤲 Charity

🤖 Artificial Intelligence

🌍 Social Impact

💰 $2M Venture Round on 2016-10

Charity • Artificial Intelligence • Social Impact

DataKind is an organization that tackles some of the world's toughest challenges using data science and artificial intelligence. By partnering with entities like Gavi, the Vaccine Alliance, and leveraging data-driven solutions, DataKind focuses on areas including frontline health, humanitarian action, climate and environment, economic opportunity, and student success. The organization engages in projects such as expanding safe sanitation solutions and using AI for humanitarian data insights.

📋 Description

• Directly build and ship the technical work each institution's onboarding requires – writing and modifying code, pipelines, and configuration to connect their systems to ours. • Configure, validate, and troubleshoot data mappings, schema alignment, and data flows specific to each institution's environment. • Anticipate integration risks and unblock issues independently before they stall a deployment. • Build reusable technical assets: reference architectures, integration playbooks, mapping templates so that each institution onboards faster than the last. • Serve as the primary technical point of contact for higher education institutions participating in the UDTS, partnering closely with the account/success manager on each relationship. • Lead technical discovery: understand each institution's data landscape and translate it into integration and governance requirements and a recommended solution design, while being aware of the internal technical and product roadmap and constraints. • Run solution design and architecture conversations with institutional IT, data, and IR teams, scoping integrations, defining data flows, and setting realistic technical expectations. • Produce integration specs, and technical implementation plans tailored to each institution's environment, governance needs, and constraints. • Translate our platform's capabilities and roadmap accurately back to institutions, and translate institutional technical feedback into clear requirements for internal Technology and Product teams. • Partner with Engineering and Product to confirm proposed integration solutions are feasible and align with platform direction. • Surface recurring technical patterns and gaps across institutions to inform product priorities. • Maintain a clear, shared view of each engagement's technical status, open issues, and dependencies.

🎯 Requirements

• Deep alignment with DataKind's mission and values, and demonstrated commitment to educational equity and data-driven social impact. • 5+ years in hands-on technical implementation, or solutions architecture, including direct client- or partner-facing delivery. • Must have personally written and shipped production code, data pipelines, and system integrations, not just directed others. • Able to independently configure and troubleshoot data mappings, schema alignment, and data flows; proficient in SQL and a scripting language, Python preferred. • Comfortable running technical discovery directly with institutional IT/data teams and unblocking issues without routing to Engineering.

🏖️ Benefits

• Flexibility and time off. • Comprehensive Wellness Support. • A Culture of Growth. • Meaningful Connection. • Living our Values.