Data Architect

🕒 April 9

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Instructure

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

📚 Education

☁️ SaaS

🤝 B2B

💰 Private Equity Round - Instructure on 2024-07

Education • SaaS • B2B

Instructure is an education-technology company that builds cloud-based learning and assessment platforms, best known for Canvas LMS. It provides an integrated ecosystem of SaaS products and services — including learning management, standards-aligned assessment (Mastery), credentialing and records (Parchment), analytics, and tools for K–12, higher education, and business/government training. Instructure focuses on student success, partner integrations, and scalable solutions for institutions and organizations to deliver, assess, and credential learning.

📋 Description

• Define and own the enterprise data architecture strategy, including conceptual, logical, and physical data models across the organization's core domains • Establish and govern data standards, naming conventions, schema design principles, and modeling best practices used by Data Engineering and Analytics Engineering teams • Lead the design of scalable, reusable data products in the semantic and analytical layers, ensuring consistency across Decision Science, Data Science, and self-service consumption • Partner with the Product Data team to align on shared architectural standards, data contracts, and platform decisions—acting as a peer and collaborator, not a dependency • Evaluate and advise on data platform and tooling decisions (cloud data warehouses, lakehouse patterns, orchestration, metadata management, cataloging) • Identify and resolve architectural gaps, redundancy, and data quality risks across the data estate • Contribute to—and in many cases lead—the development of a business glossary, data catalog, and enterprise ontology for key data domains • Act as a senior advisor to Data Science on data availability, feature engineering infrastructure, and model data requirements • Collaborate with Decision Science leadership to ensure analytical data models are structured for performance, clarity, and governed self-service • Champion data governance, lineage, and observability as first-class architectural concerns • Mentor and guide engineers and analytics engineers on architectural patterns and data modeling best practices

🎯 Requirements

• 8+ years of experience in data architecture, data engineering, or a closely related discipline in a complex, multi-team data environment • Demonstrated experience designing and governing enterprise data models across transactional, analytical, and semantic layers • Deep expertise in modern data stack patterns: cloud data warehouses (Snowflake, BigQuery, Databricks), lakehouse architectures, dbt, data cataloging tools • Strong command of data modeling methodologies—dimensional modeling, Data Vault, OBT, and when to apply each • Experience establishing or evolving data governance programs including metadata management, lineage, and data quality frameworks • Ability to work across technical and business stakeholders—translating architectural decisions into clear business value • Experience partnering with Data Science teams on feature engineering, training datasets, or MLOps data infrastructure • Excellent communication and documentation skills; you write clearly about architecture for both technical and executive audiences • Experience working in matrix or cross-functional environments, navigating organizational boundaries without direct authority

🏖️ Benefits

• Competitive compensation, plus all full-time employees participate in our ownership program - because everyone should have a stake in our success. • Flexible work culture. Our remote, hybrid and in-office collaboration spaces vary by role, team and location. • Generous time off, including local holidays and our annual “Dim the Lights” period in late December, when teams are encouraged to step back and recharge based on departmental needs. • Comprehensive wellness programs and mental health support • Annual learning and development stipends to support your growth • The technology and tools you need to do your best work • Motivosity employee recognition program • A culture rooted in inclusivity, support, and meaningful connection