Director of Data Engineering – M4
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Job Description
Director leading secure data platforms and AI-enabled engineering for ClassLink’s education technology products. Building engineering teams, cloud architectures, governance, and reliable data services for schools.
Responsibilities:
- 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
- Establish engineering standards, architectural principles, and governance frameworks
- Evaluate emerging technologies, AI capabilities, cloud services, and engineering methodologies
- 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, data models, metadata management, and enterprise data architecture
- Ensure data engineering solutions meet requirements for security, performance, scalability, resiliency, and operational excellence
- Drive adoption of automation, Infrastructure as Code, CI/CD, and cloud-native architectures
- Lead initiatives improving data platform reliability, operational resilience, engineering productivity, and delivery efficiency
- Establish operational metrics, monitoring, observability, alerting, capacity planning, disaster recovery, and service reliability practices
- Develop governance processes for data quality, documentation, compliance, data lifecycle management, and operational reporting
- Modernize platforms, automate manual processes, optimize infrastructure, and improve engineering effectiveness
- Partner with Product Management, Engineering, Architecture, Infrastructure, Security, Analytics, and executive leadership
- 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
- Lead, coach, and develop a high-performing Data Engineering organization
- Build organizational capability through hiring, succession planning, workforce planning, and leadership development
- Establish performance expectations and ensure execution, operational discipline, and alignment with organizational values and strategic priorities
Requirements:
- Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Information Technology, or a related field, or equivalent combination of education and experience
- 10+ years of progressive experience in data engineering, software engineering, platform engineering, or cloud-native application development
- 5+ years of experience leading Data Engineering teams, technical leaders, or enterprise data platform initiatives
- Demonstrated success developing enterprise data engineering strategy, technical roadmaps, and organizational engineering standards
- Deep expertise in Python, SQL, ETL/ELT architectures, REST APIs, distributed systems, and enterprise data integration
- Extensive experience designing and optimizing cloud data warehouse platforms such as Snowflake, relational databases such as PostgreSQL, and modern enterprise data platforms
- Strong experience with AWS cloud services and cloud-native architectures
- Experience implementing AI-assisted software development, CI/CD, Infrastructure as Code, observability, automation, and Agile delivery methodologies
- Strong understanding of data governance, metadata management, data quality, security, compliance, and enterprise architecture principles
- Proven ability to influence executive leadership, drive organizational change, and align technology strategy with business objectives
- Exceptional leadership, communication, strategic planning, and organizational development skills
- Preferred: Master's degree in Computer Science, Data Engineering, Information Systems, Business Administration, or a related discipline
- Preferred experience with enterprise data modernization or cloud transformation initiatives
- Preferred expertise with AI-enabled data engineering, intelligent automation, machine learning data pipelines, or advanced analytics platforms
- Preferred experience with event-driven architectures, streaming technologies, or real-time data processing platforms
- Preferred experience with Terraform, Kubernetes, platform engineering, or Site Reliability Engineering practices
- Preferred AWS Professional or Specialty certifications, Snowflake certifications, Azure certifications, or equivalent cloud credentials
- Preferred experience participating in enterprise architecture governance, technology strategy, or executive leadership planning
- Preferred experience building and developing high-performing engineering organizations in a SaaS or technology environment
- Preferred experience implementing enterprise data governance, data catalogs, lineage, master data management, or data mesh principles
- Preferred experience with Azure and Google Cloud Platforms
Benefits:
- 4+ weeks of vacation
- 13+ paid holidays
- 12 weeks fully paid parental leave for all parents
- 401(k) with 0.5:1 company match
- Medical, dental, and vision plans
- Company-paid life insurance
- Company-paid short-term disability insurance
- Company-paid long-term disability insurance
- Voluntary supplemental life, accident, and pet insurance
- ClassLink Cares paid volunteer days
- Tuition reimbursement for continued education
- Coaching and internal programs to support career and personal growth
- Annual company retreats and team events
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