Lead Analytics Engineer

Accountabilities: Set the technical direction for the analytics engineering team, including architecture, engineering conventions, development practices, and implementation approaches. Establish and maintain a high technical standard through code reviews, design reviews, pairing, documentation, and technical knowledge-sharing. Own the architecture and long-term maintainability of analytical data models and the broader analytics layer. Define and govern the semantic layer, metric definitions, and self-service analytics capabilities so stakeholders can access consistent and trustworthy information. Partner closely with Product, Finance, Marketing, and Engineering to understand business needs and translate them into an actionable technical roadmap. Negotiate scope and priorities directly with stakeholders while balancing business requirements, technical constraints, and sustainable delivery. Establish a proactive analytics cadence that enables the team to identify emerging business questions and opportunities rather than relying solely on incoming requests. Define the team's data testing strategy and establish reliable methods for validating business logic across the analytics ecosystem. Own operational health across the analytics layer, including monitoring, alerting, incident response, and release readiness. Mentor junior and experienced engineers, helping develop technical capabilities and shared understanding across the team. Lead large-scale data migrations and performance initiatives by defining the technical approach and enabling the wider team to execute effectively. Manage and improve large-scale data infrastructure and automation using modern software engineering principles. Requirements 8+ years of professional experience working with data in a software engineering or technology environment. Advanced proficiency in SQL and Python, with the ability to build and maintain production-quality analytical systems. Strong experience designing and managing business semantic layers, data catalog solutions, and data integrity or testing frameworks. Hands-on experience with dbt, including orchestration, modeling practices, and scalable analytics engineering workflows. Strong knowledge of relational databases and modern analytical data architectures. Experience with DAG-based orchestration tools such as Dagster or Airflow. Professional experience with Tableau or comparable business intelligence and visualization platforms. Experience working with cloud infrastructure, particularly AWS or GCP, and infrastructure-as-code tools such as Terraform. Familiarity with document, graph, or schema-less databases is an advantage. Demonstrated ability to work autonomously, proactively identify opportunities, and solve complex data-system challenges. Strong understanding of analytics engineering, data architecture, data quality, and business intelligence practices. Experience establishing engineering standards such as code review processes, design reviews, automated testing, version control, and maintainable development workflows. Strong communication and stakeholder-management skills, with the ability to explain technical concepts clearly and negotiate scope effectively. Demonstrated experience mentoring engineers and raising technical standards across a team. Benefits Remote contractor opportunity with flexibility to work from Brazil. Opportunity to shape the technical direction and architecture of a growing analytics ecosystem. High level of ownership across data models, semantic layers, testing, infrastructure, and operational reliability. Direct collaboration with Product, Finance, Marketing, and Engineering stakeholders. Opportunity to lead significant migrations, performance initiatives, and analytics engineering improvements. Mentoring and technical leadership responsibilities with the ability to influence team-wide engineering practices. Mission-driven work supporting technology designed to improve learning and outcomes for students and teachers. Employment offers are subject to successful completion of the applicable pre-employment background check.