At ClassLink, we believe learning should be accessible, engaging, and empowering for every student, every educator, everywhere. That’s why we build secure, intuitive tools that empower more than 26 million students and educators worldwide. From simplifying access with single sign-on, to advancing equity with usage analytics, to automating secure rostering, our platform helps schools focus on what matters most: teaching and learning.
We’re not just building tools, we’re building what’s next in education. By removing barriers and enabling data-driven decisions, our solutions help educators lead with confidence and students thrive in and out of the classroom every day.
Our team is driven by purpose and grounded in three core values:
- Strive to Grow - always learning, improving, and innovating.
- Deliver Worthwhile Experiences - for our users, our partners, and each other.
- Contribute with Heart - putting people first in everything we do.
These values shape how we work, innovate, and support the communities we serve. If you’re ready to do work that makes a real difference, and grow alongside a team that values collaboration, support, and continuous improvement. ClassLink is the place for you.
ClassLink is hiring a Director of Data Engineering . This role provides strategic and technical leadership for ClassLink’s Data Engineering organization, setting the vision, architecture, and strategy for scalable, secure, and reliable enterprise data platforms. Partnering with product, engineering, analytics, security, and executive leadership, this role aligns data investments with business priorities and advances AI-enabled applications, automation, data quality, and platform reliability. The Director builds high-performing teams, develops engineering leaders, establishes standards and governance, and fosters a culture of technical excellence and continuous improvement. Success requires exceptional leadership, deep expertise in modern data engineering and platform architecture, strategic thinking, and the ability to influence technology direction across the organization.
Key Responsibilities:
AI-Enabled Data Engineering & Technical Excellence
- Develop and execute the enterprise data engineering roadmap aligned with ClassLink's strategic technology and business objectives.
- Define the long-term technical direction for enterprise data platforms, cloud-native data services, AI-enabled data engineering, data integration, and modern data architectures that support analytics, automation, and AI-powered products.
- Establish engineering standards, architectural principles, and governance frameworks that improve data quality, security, reliability, scalability, and maintainability.
- Evaluate emerging technologies, AI capabilities, cloud services, and engineering methodologies to drive innovation and organizational effectiveness.
Accountability & Results
- Oversee the design, architecture, and evolution of enterprise data platforms, ETL/ELT pipelines, APIs, integrations, and cloud-native data services.
- Guide the design and optimization of enterprise cloud data warehouse platforms (including Snowflake), data models, metadata management, and enterprise data architecture.
- Ensure data engineering solutions support business requirements while meeting enterprise standards for security, performance, scalability, resiliency, and operational excellence.
- Drive adoption of modern engineering practices, automation, Infrastructure as Code, CI/CD, and cloud-native architectures across the Data Engineering organization.
Operational Excellence & Continuous Improvement
- Lead initiatives that improve data platform reliability, operational resilience, engineering productivity, and delivery efficiency through automation, AI-assisted engineering, and continuous improvement.
- Establish operational metrics, monitoring, observability, alerting, capacity planning, disaster recovery, and service reliability practices for enterprise data platforms.
- Develop governance processes for data quality, documentation, compliance, data lifecycle management, and operational reporting.
- Identify opportunities to modernize platforms, automate manual processes, optimize infrastructure, and improve engineering effectiveness across the organization.
Collaboration & Communication
- Partner with Product Management, Engineering, Architecture, Infrastructure, Security, Analytics, and executive leadership to define data priorities and deliver strategic initiatives.
- Translate business objectives into enterprise data architecture, implementation roadmaps, engineering priorities, and investment strategies.
- Represent Data Engineering in technology leadership forums, architecture reviews, strategic planning, and cross-functional governance activities.
- Foster strong partnerships across technical and business organizations to ensure enterprise data capabilities support organizational growth and innovation.
People Leadership & Team Development
- Lead, coach, and develop a high-performing Data Engineering organization by providing strategic direction, performance coaching, mentoring, and professional development opportunities.
- Build organizational capability through hiring, succession planning, workforce planning, and leadership development.
- Foster a culture of accountability, collaboration, innovation, continuous learning, and engineering excellence.
- Establish performance expectations and ensure consistent execution, operational discipline, and alignment with organizational values and strategic priorities.
This role is remote with quarterly in-person strategy meetings.
NOTE: This job description is not intended to be all-inclusive. Employees may be asked to perform other related duties as assigned to meet the ongoing needs of the organization.