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. 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.
Job Title: Sr. Manager, Data & ML Engineering
Reports to: Director, Data Platforms & Engineering
Location: United States (Remote)
Interested applicants must reside in one of the following approved states: Arizona, California, Colorado, Indiana, Massachusetts, Minnesota, New York, Oregon, Pennsylvania, Texas, Utah, Washington
The Role
Are you ready to shape the future of data and machine learning at Deckers Brands? As the Senior Manager, Data & ML Engineering, you'll lead the delivery and operational excellence of our modern data platform, driving innovation and reliability across analytics, reporting, and machine learning. You'll be at the forefront of building scalable, governed data pipelines using dbt and AWS-native architecture, laying the foundation for advanced analytics and future ML capabilities. This is your opportunity to make a lasting impact-establishing trusted data practices, enabling business insights, and empowering teams to unlock the full potential of data.
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.
Your Impact
Lead the design and delivery of analytics-ready data models and transformation layers using dbt as the standard framework
Establish and enforce dbt development standards, including model design, documentation, testing, CI/CD, and release practices
Own delivery and operations of scalable ingestion, transformation, and delivery pipelines on AWS, ensuring reliability, performance, and cost efficiency
Partner with Cloud Engineering and Security to ensure AWS data solutions meet security, privacy, and compliance requirements
Implement monitoring, alerting, incident response practices, and runbooks for dbt and AWS workloads to improve operational stability
Drive strong data quality practices including source definitions, freshness checks, automated tests, and data lineage expectations
Collaborate with business stakeholders to translate needs into prioritized roadmaps and delivered data products
Manage and mentor data engineers and analytics engineers through coaching, performance management, and career development
Promote disciplined engineering practices across the team including code review standards, documentation, automation, and reusable frameworks
Enable future machine learning use cases by ensuring curated datasets are ML-ready, including feature readiness and foundational requirements for model operationalization
Evaluate and introduce platform improvements that strengthen scalability, maintainability, governance, and developer productivity
Who You Are
Bachelor's degree required, preferably in Computer Science, Engineering, or related technical field; Master's degree preferred
AWS certifications (Data, Machine Learning, or Solution Architecture) are a plus
8 to 12 years of experience building enterprise-grade data platforms and pipelines
3 to 5+ years leading data engineering and/or analytics engineering teams in cloud-native environments
Demonstrated hands-on experience using dbt as a primary transformation framework in production, including testing, documentation, CI/CD, and release practices
Strong experience delivering data platforms on AWS (S3, Redshift, Glue, EMR, Lambda, Kinesis, SageMaker as applicable)
Experience supporting ML initiatives through strong data foundations, feature readiness, and platform enablement is preferred
Deep understanding of modern data modeling and analytics engineering concepts, including dbt best practices
Strong AWS data engineering expertise including scalability, reliability, and cost optimization
Strong leadership and people-management skills with a focus on coaching and developing talent
Ability to drive technical excellence while balancing speed, quality, and operational stability
Excellent problem-solving, analytical thinking, and decision-making skills
Strong communication and influencing skills across technical and business stakeholders
Comfortable working in a fast-paced, matrixed, and global environment
What Well Give You - Competitive Pay and Bonuses
We've created a variety of competitive compensation programs to foster career development, reward success and to show our employees just how much they're valued.
Financial Planning and wellbeing
No matter what financial goals our employees have set, we want to help them get there. Our plans provide powerful ways to protect income, pay for expenses and invest in the future.
Time away from work
Sometimes we need time away to be with family, focus on our health or just simply recharge. Our plans support our employees' needs to get out, get healthy and come back stronger than ever.
Extras, discounts and perks
Being a valued member of the Deckers Brands team means more than just a paycheck. From generous discounts to community-based programs, we offer a variety of cool extras
Growth and Development
Deckers Brands was built on the idea of pursuing passion. That's why we offer extensive opportunities and support for personal and professional development.
Health and Wellness
There's nothing basic about our comprehensive health and wellness programs and offerings. While at work and at play, we aim to support a healthy lifestyle.
$170,000 - $190,000
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.
Equal Employment 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.