Analytics Engineering Manager, Komodo Health

• Strategic thinking to align EDW architecture and processes with long-term business objectives
• Technical expertise in data modeling, warehouse optimization, and ELT pipelines
• Stakeholder collaboration to build strong relationships across teams and ensure data meets organizational needs
• Mentorship experience to develop and guide early-career engineers in technical and professional growth
• Operational excellence to create scalable, reliable processes for data pipeline management and quality assurance
• Problem-solving aptitude to diagnose and address complex technical issues in data environments
• Cost awareness to optimize cloud-based data warehouses for cost efficiency
• Innovation to identify and implement modern tools and techniques to enhance data engineering workflows
• Governance focus to maintain high standards of data quality, tagging, and access control
• Communication skills to translate technical concepts for non-technical stakeholders
• Adaptability to navigate ambiguity and prioritize competing demands in a fast-paced environment
• Results orientation with a focus on delivering impactful solutions that drive business outcomes

Desirable

• This role exists to provide strategic leadership and technical expertise for Komodo's Enterprise Data Warehouse (EDW) and analytics engineering function
• It is chartered to drive the evolution of the EDW infrastructure, ensuring performance, scalability, and alignment with organizational priorities while fostering a culture of operational excellence and mentorship within the team
• The role serves as a bridge between technical execution and business strategy, ensuring data solutions meet both immediate and long-term goals
• Establish and execute a strategic roadmap for the EDW, aligned with Komodo’s business priorities
• Implement scalable and efficient data models and pipelines to support self-service analytics and reporting needs for the company
• Enhance governance processes, including data quality standards, tagging frameworks, and access controls
• Mentor and develop early-career engineers, fostering a high-performing and collaborative team environment
• Optimize the EDW for performance and cost efficiency, achieving measurable improvements in query performance and resource utilization
• Lead the design, implementation, and optimization of the EDW, including data modeling, pipeline development, and performance tuning
• Collaborate with cross-functional teams to align EDW capabilities with business requirements and deliver impactful insights
• Drive the adoption of modern tools and practices, such as dbt and cloud-native architectures, to improve scalability and maintainability
• Develop and enforce data governance frameworks, ensuring high-quality and secure data across all datasets
• Troubleshoot and resolve data pipeline and warehouse issues to ensure system reliability and uptime
• Provide mentorship and technical guidance to early-career engineers, helping them grow in their roles
• Create and maintain comprehensive documentation for EDW processes, pipelines, and governance standards