Data Architect

Great Minds • Boston, DC

11h • $109,000 - $119,000 • Remote

About The Position

Great Minds is a high-growth, mission-driven organization founded by educators in 2007. As a for-profit, Public Benefit Corporation, we believe all students deserve access to meaningful, challenging content—and all teachers deserve tools that are intuitive, effective, and built for the realities of today’s classrooms. We develop high-quality, knowledge-rich math, science and ELA curricula grounded in research and designed in collaboration with educators. Our materials reflect real classroom needs and are built to drive lasting student outcomes. We are committed to usability, coherence, and practical implementation—supporting teachers not just through curriculum, but with professional learning, purposeful technology, and responsive service that enable strong adoption and impact. What We Build Our products— Eureka Math and Eureka Math², Wit & Wisdom , PhD Science, Geodes , and the newly launched Arts & Letters ELA —are trusted by thousands of schools and districts nationwide. Eureka Math is the most widely used math curriculum in the U.S., and is focused on balancing conceptual understanding, procedural fluency, and application. Wit & Wisdom® and Arts & Letters ELA™ anchor our reading strategy with content-rich, grade-level instruction that integrates literature, history, and the arts, grounded in the science of reading. Geodes® complements our reading suite with decodable texts that pair phonics with meaningful content to support early literacy. PhD Science is a hands-on K-5 Science program that sparks curiosity as students build enduring knowledge of how the scientific world works. These programs reflect a shared belief in high expectations, joyful rigor, and deep respect for educators and students. Where We’re Headed Great Minds is entering a new stage of growth and product maturity. We are focused on building more connected, customer-informed experiences across the full educator journey—from curriculum to professional learning to platform and support. Our long-term vision is to become a true partner in impact—not just delivering curriculum, but supporting educators in achieving outcomes at scale. Job Purpose The Data Architect will be the primary strategist and creator of the architecture for the enterprise data platform. The role will be responsible for analyzing and selecting appropriate tools, and designing and building data models, data structures, and data pipelines. The role will also be responsible for ensuring that the data architecture and models are compliant with Great Mind’s security practices. The data architect will work with the larger data team to help direct the build of the data platform and may partner with other departments to understand the company’s data and existing systems and processes.

Requirements

• 3+ years’ experience with AWS, particularly with respect to modern data platforms
• 3+ years’ experience and the ability to communicate clearly using diagram / wireframe tools such as Miro or Microsoft Visio to convey complex architecture
• 2+ years’ experience leading projects to evaluate and recommend different tools and process options
• Expertise with data collection, ingestion, and ELT processes
• Expertise with designing and managing modern data platforms (including data lakes / warehouses and ELT pipelines)
• Strong data analysis skills to understand how the raw data is set up and what the desired outcomes are
• Bachelor’s degree

Nice To Haves

• Familiarity with data visualization tools and understanding how to best model data for such tools
• Familiarity with JIRA or a similar tool for project work tracking

Responsibilities

• Design data models and structures for analytics purposes; work with consulting partner and other team members to build them
• Design data ingestion and transformation pipelines; work with consulting partner to build them
• Design security model of data access, considering data privacy and compliance concerns
• Lead tool selection with the focus on the following areas: Ingestion, Data Lake, Data Governance, Data Catalog
• Ingest priority data into the data warehouse/data lake and prep the data for analysis

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level