Deckers

Deckers

Senior Data Product Engineer

US - California Remote · Senior

Sponsorship not specified$136k-$208kDetected 9 days ago
RedshiftAWSCI/CDdbtData EngineeringProject ManagementAgileJiraLeadershipCommunicationMentoring

About the role

  • At Deckers Brands, Together, Every Step is a promise kept that every employee can bring their authentic self, is valued and supported, as a whole person, at work and beyond.
  • Job Title: Senior Data Product Engineer Reports to: Director, Data & AI Product Delivery Location: Goleta, CA (remote position) We celebrate diversity-of your background, your experiences and your unique identity.
  • Provide technical leadership and mentorship to data engineers, promoting best practices in data modeling, transformation, and agile delivery.

Responsibilities

  • Responsible for design, development, and scaling of a modern enterprise data platform within a distributed data mesh architecture.
  • 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.
  • Collaborate with business stakeholders to gather and translate complex data requirements into technical specifications and actionable development tasks.
  • Together, Every Step is how we continue to deliver exceptional business results, experience an amazing place to work, and have a positive impact on the communities and world around us.
  • Our plans support our employees' needs to get out, get healthy and come back stronger than ever.

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.
  • Applicants must have demonstrated experience with the following
  • hands-on experience with dbt, Amazon Redshift or equivalent cloud-based data warehouses.

Compensation

  • $135,949 - $207,900 /year
  • The salary range posted reflects the minimum and maximum target for new hire salaries for this role in our Goleta, CA location.
  • Individual pay will be determined by location and additional factors, including job related skills, experience, and relevant education or training.
  • Your recruiter can share more about the specific salary for your preferred location during the hiring process

Benefits

  • Responsible for ensuring platform scalability, performance, and reliability, including monitoring data pipeline health and optimizing resource usage across cloud infrastructure.
  • Financial Planning and wellbeing
  • Sometimes we need time away to be with family, focus on our health or just simply recharge.

Company info

  • Goleta, CA (remote position)
  • We celebrate diversity-of your background, your experiences and your unique identity.
  • We are committed to ensuring an inclusive and equitable workplace where all of our employees can Come as They Are.
  • We believe that when we bring our different perspectives to work, we are truly Better Together.

Equal opportunity

  • Diversity and inclusion are key to our success.
  • We are proud to be an equal opportunity employer, and our employees are people with different strengths, experiences and backgrounds who share a passion for our brands.
  • We welcome qualified applicants regardless of their race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, military or veteran status, mental or physical disability, medical condition and all the other beautiful parts of your identity.

This listing is sourced directly from Deckers's careers page and normalized into a canonical job model.