Data Architect

Job Title : Data Architect

Department : Information Technology

Reports To : Vice President, Information Technology

FLSA Status : Exempt

Job Type : Full time

Location : Remote (United States Only)

Compensation : $85K-$95K

Conflict of Interest Policy : At Meteor, integrity and transparency are paramount in all our operations and interactions. To avoid any potential conflicts of interest and maintain the trust of our public customers, we regret that we cannot consider applications from individuals who are currently employed by organizations that are customers of Meteor, where they hold positions that could influence the purchasing decisions regarding our products or services. This policy ensures fairness and impartiality in our hiring process and customer interactions. If you fall under this category, we appreciate your understanding and encourage your continued support as a valued customer.

Summary of Position

Meteor Education is seeking a hands‑on, delivery‑focused Data Architect to lead the design, development, and operationalization of scalable data and integration solutions across enterprise platforms—including Salesforce, NetSuite, MuleSoft, and Reltio. This role is responsible for shaping the enterprise data strategy while also driving execution through the development of reliable, high‑performing data solutions that support the organization’s goals. The ideal candidate is equally comfortable defining long‑term architectural vision and executing on daily technical tasks. This role is pivotal in enabling accurate, accessible, and consistent data flows across systems that power business intelligence, finance, operations, sales, and more. At Meteor, how we work matters. This role must embody and champion our core values—We’re looking for someone who thrives in a dynamic, cross‑functional environment and is eager to build meaningful solutions that advance our mission of transforming learning environments across the country. This individual must bring both technical acumen and a strong sense of purpose, helping create a data‑driven culture that supports better decisions, better learning, and better outcomes.

Essential Responsibilities

• Define, maintain, and evolve the enterprise data architecture roadmap in alignment with business priorities and IT strategy.
• Document and enforce enterprise data standards, naming conventions, and architectural principles.
• Participate in strategic planning for data infrastructure modernization and platform expansion.
• Design and implement scalable, secure data integrations and APIs using MuleSoft and internal middleware.
• Develop transformation logic and mapping specifications across systems such as Salesforce, NetSuite, and Reltio.
• Optimize and manage ETL / ELT pipelines and orchestration workflows to ensure high performance and reliability.
• Build and manage master data management (MDM) and governance frameworks, with tools such as Reltio.
• Partner with business stakeholders to define and implement data ownership, stewardship, and quality standards.
• Ensure metadata management, lineage tracking, and reference data harmonization across the enterprise.
• Collaborate with infrastructure, legal, and security teams to ensure data compliance with relevant regulations (e.g., GDPR, FERPA, HIPAA).
• Develop and enforce data lifecycle policies for retention, archival, and purging.
• Conduct data audits, risk assessments, and remediation planning as needed.
• Actively contribute to project execution, including design, development, performance tuning, and troubleshooting.
• Support issue resolution related to data flows, APIs, integrations, or system connectivity.
• Ensure that data and integration solutions are well‑documented, scalable, and supportable.
• Work closely with Product, Engineering, Finance, Sales, and Operations teams to align data flows with business requirements.
• Translate complex technical concepts into clear, business‑friendly terms.
• Provide guidance and best practices to teams working with data or reporting platforms.
• Provide oversight to vendor teams, contractors, or junior data engineers during project execution as required.
• Enable self‑service reporting and analytics by ensuring clean, accessible, and well‑structured data for platforms like Domo, Power BI, and Tableau.
• Partner with data analysts and business users to support operational and strategic dashboards.
• Promote data literacy and usage of analytics tools across departments.
• Evaluate and recommend tools, platforms, and technologies to enhance data management and integration capabilities.
• Lead or participate in proof‑of‑concept initiatives for new data tools or platforms.
• Establish best practices and drive adoption of modern data architecture patterns.

Requirements

Benefits

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