Data Architect

🕒 Maio 27

🏛️ District of Columbia, Washington – Remoto

🏛️ District of Columbia – Remote ☕ Washington – Remote

💵 $109.000 - $119.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🚰 Engenheiro de Dados

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Great Minds

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2007

📚 Educação

Education

A Great Minds é uma empresa educacional dedicada ao desenvolvimento de materiais instrucionais de alta qualidade para estudantes e professores. Oferece currículos abrangentes em matemática, artes da linguagem inglesa e ciências, projetados para construir um conhecimento profundo e duradouro. Os produtos da Great Minds, como Eureka Math², Wit & Wisdom e PhD Science, visam promover a equidade nas salas de aula, engajando todos os alunos. A empresa apoia educadores com recursos de aprendizagem profissional e materiais de ensino personalizáveis que se alinham aos padrões estaduais, com foco em desenvolver habilidades e conhecimentos essenciais. A Great Minds está comprometida em tornar as oportunidades educacionais acessíveis para todos os estudantes, fornecendo recursos para ajudar os educadores a adaptar a instrução às diversas necessidades das salas de aula.

Descrição

• Own the design of data models and structures for analytics purposes; collaborate with our consulting partner and internal team members to bring them to life and iterate based on what actually works in practice. • Design data ingestion and transformation pipelines that are maintainable, observable, and appropriately documented—not just functional at launch. • Define the security model for data access, with genuine attention to the intersection of data privacy requirements, compliance obligations, and the usability needs of internal teams. • Lead tool evaluation and selection across ingestion, data lake, data governance, and data catalog—with a process that produces clear, reasoned recommendations, not just vendor comparisons. • Ingest priority data sources into our data warehouse or lake and prepare them for analytical use, including validating that the data is trustworthy before downstream teams depend on it.

🎯 Requisitos

• 3+ years working with cloud data architecture on AWS or Azure—specifically in the context of modern data platforms, not general cloud infrastructure. • 3+ years producing architecture diagrams and data flow documentation using tools like Miro or Microsoft Visio clearly enough that both engineers and non-technical stakeholders can act on them. • 2+ years leading tool evaluation and selection processes, including facilitating stakeholder input, managing vendor conversations, and producing written recommendations that hold up to scrutiny. • Demonstrated expertise in ELT design and execution—you have real opinions about where transformation logic should live and why. • Experience designing and managing modern data platforms including data lakes, data warehouses, and the pipelines that connect them. • Strong analytical instincts: you can receive a raw data dump, understand its provenance and limitations, and identify what it will and won't support analytically.