Sr. Manager, Data & ML Engineering

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 ML engineering at Deckers Brands? The

Senior Manager, Data & ML Engineering leads the delivery and operational

excellence of Deckers’ modern data platform, with a strong emphasis on dbt as

the primary transformation framework and an AWS-native architecture. This role

is accountable for building and maintaining scalable, reliable, and governed

data pipelines that power analytics, reporting, and future machine learning use

cases. This role will initially focus on establishing a strong, trusted

analytics foundation through robust ingestion, modeling, testing, documentation,

and deployment practices. As the platform matures and core data products

stabilize, the role will progressively expand to enable machine learning

capabilities through feature readiness, curated datasets, and foundational MLOps

patterns in partnership with Data Science and analytics teams. 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 We'll 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. More than Just a Footwear Company From our corporate offices to our

global retail stores, there’s a curious, independent spirit that’s distinctively

Deckers Brands. We’re about giving people the freedom to pursue their passions.

And we’re committed to helping them succeed; to become their best selves. That’s

why we’re about more than work, the 9 to 5 or daily grind. We’re about

opportunity - opportunity to create, to grow and to have an impact. As we work

to become better at everything we do, how we better the world matters, too. Our

products and brands are loved, no doubt about it. But the difference we make in

people’s lives begins with our people, right here at Deckers Brands. We’re

adventurous, spirited, unafraid of new challenges and willing to take chances.

We are always ready to rally around a cause. Put simply, we want all of our

people to thrive - to reach their full potential and have fun while doing it.

Because in the end, Deckers thrives when our people thrive.