• Architect, design, and lead the implementation of highly complex, scalable, and resilient data solutions in the cloud, leveraging AWS, Snowflake, dbt, Fivetran, and other modern technologies. • Be the Expert. Quickly build subject matter expertise in a specific business area and data domain. Understand the data flows from creation, ingestion, transformation, and delivery. • Support defining and executing the overarching strategy for the analytics engineering function, including the development and evangelization of data frameworks, standards, and best practices across the organization. • Lead efforts in designing, building, and maintaining a robust, governed, and scalable semantic layer to provide consistent and reliable data access for business intelligence and analytics. • Spearhead the technical vision and roadmap for data quality and governance, establishing frameworks and processes to ensure data integrity and proactively address systemic issues. • Act as a primary technical consultant to senior executives and business stakeholders, translating complex data concepts into actionable insights and strategic recommendations. • Mentor, coach, and develop junior and mid-level analytics engineers, fostering a culture of technical excellence, innovation, and continuous learning within the team. • Set standards for documentation, conduct advanced peer code reviews, and define comprehensive testing strategies for data solutions. • Continuously evaluate and champion new technologies and methodologies to enhance the data and analytics capabilities at Huntress.