Director of Data Engineering – M4

🕒 Yesterday

🇺🇸 United States – Remote

💵 $165k - $180k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

🦅 H1B Visa Sponsor

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Logo of ClassLink

ClassLink

51 - 200 employees

Founded 1998

📚 Education

🔒 Cybersecurity

☁️ SaaS

💰 Venture Round on 2007-03

Education • Cybersecurity • SaaS

ClassLink is a company providing educational technology solutions that focus on identity and access management for schools. Their services include identity and access management, learning analytics, and cybersecurity with features such as single sign-on and multi-factor authentication, tailored for K-12 and higher education institutions. ClassLink aims to create a secure and efficient digital learning environment, enhancing education through improved access to technological resources and data-driven insights.

📋 Description

• 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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