Edtech.com's Summary

Great Minds is hiring a Data Architect to lead the design and implementation of their enterprise data platform. The role involves collaborating with consulting partners and internal teams to build scalable data models, pipelines, and security frameworks that support analytics and compliance requirements.

Highlights

Design and maintain data models and structures for analytics purposes.
Develop and document data ingestion and transformation pipelines.
Define and enforce data access security models balancing privacy and usability.
Lead evaluation and selection of tools for data ingestion, governance, and cataloging.
Ingest and validate priority data sources for analytical use.
Require 3+ years of cloud data architecture experience on AWS or Azure.
Experience producing architecture diagrams using tools like Miro or Microsoft Visio.
Expertise in ELT design, modern data platforms, and pipeline management.
Bachelor’s degree required.
Base salary range: $109,000-$119,000, with variations based on experience and location.

Data Architect Full Description

Data Architect

Remote

DC, District of Columbia, United States
Enterprise Data and Insights

Job description
Who We Are
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

We're looking for a Data Architect who can do more than design schemas—someone who understands that the choices made early in a data platform's lifecycle shape what analysts, engineers, and business partners can realistically accomplish years later. This is a founding-architecture role: you'll be the primary strategist and builder of our enterprise data platform, working alongside a consulting partner and a wider data team.

The right person for this role will be equally comfortable whiteboarding a lakehouse topology with engineers and explaining a data access security model to a compliance stakeholder. You won't just hand off specs—you'll stay close to implementation, course-correct when reality diverges from design, and build the institutional knowledge that makes the platform durable.

Responsibilities

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.

Job requirements

Requirements

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.

Preferred Qualifications

Familiarity with data visualization tools and an understanding of how modeling decisions upstream affect the experience of analysts downstream.
Experience using Jira or a comparable tool for tracking architecture and engineering work over time.

Required Education

Bachelor’s degree

Status

Full-time

Location

Remote

The expected base salary range for this position is $109,000-$119,000, however the offered salary may be higher or lower than the above range dependent on numerous factors including, but not limited to location, work experience, skills and internal equity considerations. The base salary is not inclusive of benefits or other incentives.

A cover letter and resume are required to be considered for this position.

New employees will be required to successfully complete a background check.

Any communication to applicants relating to the Great Minds hiring process will only come from email addresses with the domains greatminds.org or greatminds.recruitee.com. If in the course of the application or hiring process with Great Minds you are contacted through another domain, are requested to provide banking or other sensitive information, or you note any other suspicious activity, please contact security@greatminds.org

Great Minds is an equal opportunity employer. We will extend equal opportunity to all individuals without regard to race, religion, color, sex (including pregnancy, sexual orientation, and gender identity), national origin, disability, age, genetic information, or any other status protected under applicable federal, state, or local laws. Our policy reflects and affirms the organization’s commitment to the principles of fair employment and the elimination of all discriminatory practices.

#LI-Remote

Original Job Description

Data Architect

Remote

DC, District of Columbia, United States
Enterprise Data and Insights

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

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

Responsibilities

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.

Job requirements

Requirements

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.

Preferred Qualifications

Familiarity with data visualization tools and an understanding of how modeling decisions upstream affect the experience of analysts downstream.
Experience using Jira or a comparable tool for tracking architecture and engineering work over time.

Required Education

Bachelor’s degree

Status

Full-time

Location

Remote

A cover letter and resume are required to be considered for this position.

New employees will be required to successfully complete a background check.

#LI-Remote

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