Technical Solutions Engineer

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DataKind

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2012

💼 Consultoria

🏥 Saúde

📦 Logística

💰 $2.000.000 Venture Round em 2016-10

Consulting • Healthcare • Logistics

DataKind é uma organização que enfrenta alguns dos desafios mais difíceis do mundo usando ciência de dados e inteligência artificial. Ao fazer parcerias com entidades como a Gavi, a Aliança de Vacinas, e alavancar soluções orientadas por dados, a DataKind foca em áreas como saúde de base, ação humanitária, clima e meio ambiente, oportunidades econômicas e sucesso estudantil. A organização realiza projetos como a expansão de soluções seguras de saneamento e o uso de IA para insights de dados humanitários.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

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