Senior Data Product Engineer

Deckers Brands is committed to fostering an inclusive and equitable workplace. The Senior Data Product Engineer will be responsible for designing and scaling a modern enterprise data platform, leading a cross-functional team, and ensuring the delivery of high-quality data products.

Responsibilities:

• Responsible for design, development, and scaling of a modern enterprise data platform within a distributed data mesh architecture. Use advanced technical expertise in data engineering workflows, cloud-based data infrastructure, and agile product development methodologies
• Serve as primary technical product lead for a cross-functional team of data engineers, ensuring delivery of scalable, high-quality data products that support decentralized data ownership across organization. Define and manage strategic roadmap for enterprise data platform, ensuring alignment with data mesh principles and organizational data governance standards. Design and oversee data transformation workflows using dbt, including development of reusable data models and scalable transformation logic
• Responsible for implementation of ELT (Extract, Load, Transform) pipelines using Qlik and FiveTran for data ingestion, and Amazon Redshift for compute and analytics. Collaborate with business stakeholders to gather and translate complex data requirements into technical specifications and actionable development tasks
• Responsible for agile development processes, including sprint planning, backlog grooming, and retrospectives, to ensure continuous delivery of platform enhancements. Responsible for ensuring platform scalability, performance, and reliability, including monitoring data pipeline health and optimizing resource usage across cloud infrastructure. Provide technical leadership and mentorship to data engineers, promoting best practices in data modeling, transformation, and agile delivery

Requirements:

• Bachelor's degree or equivalent in Computer Science, Information Technology, Data Engineering or related field of study
• 5 years of progressive experience in data platform development, data engineering, or product management roles within enterprise environments
• Employer will accept a Master's degree or equivalent in Computer Science, Information Technology, Data Engineering or related field of study and 3 years of experience in data platform development, data engineering, or product management roles within enterprise environments in lieu of a Bachelor's degree or equivalent and 5 years of progressive experience
• demonstrated experience managing Agile scrum teams focused on data infrastructure and analytics
• hands-on experience with dbt, Amazon Redshift or equivalent cloud-based data warehouses
• experience with ELT workflows using Qlik and FiveTran
• experience implementing data architectures to include: data mesh, data fabric, or data lakes
• experience with Agile project management tools to include Jira and Confluence
• experience with cloud-based data infrastructure, particularly within AWS ecosystems
• experience managing multiple projects simultaneously while meeting established deadlines and driving cross-functional alignment
• experience preparing technical documentation and written communications to ensure stakeholder engagement