Analytics Engineering Manager

Summary

Join Komodo Health's EDW and Analytics Engineering team as a leader in building and maintaining the data warehouse infrastructure. You will establish and execute a strategic roadmap for the EDW, aligning it with Komodo’s business priorities. Implement scalable and efficient data models and pipelines, enhance governance processes, and mentor early-career engineers. Optimize the EDW for performance and cost efficiency, achieving measurable improvements. Collaborate with cross-functional teams and drive the adoption of modern tools and practices. This role requires strategic thinking, technical expertise, stakeholder collaboration, mentorship experience, and a focus on operational excellence and problem-solving.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

• Experience with Snowflake, Fivetran, dbt, Temporal, Airflow
• Experience with AWS Quicksight, RDS
• Experience with Python, other high level languages
• Experience with Github, Git

Benefits

• Medical, dental and vision coverage
• 401k Retirement Plan
• Prepaid legal assistance
• Paid time off for vacation, sickness, holiday, and bereavement
• 100% company-paid life insurance
• Long-term disability insurance
• Hybrid work model