About the Company
Deckers Brands is committed to creating an inclusive workplace where employees are valued for their individual backgrounds, experiences, and perspectives. The company focuses on employee development, business performance, and making a positive impact on communities.
About the Role
Deckers Brands is seeking a Data Engineering Lead to provide hands-on technical leadership across its data and machine learning engineering organization. You will establish engineering standards, guide distributed teams, and oversee the design and delivery of reliable, scalable data products that support business decision-making.
This role focuses on cloud-based data pipelines, analytics-ready data models, data quality, and engineering best practices using AWS, dbt, SQL, and Python.
Key Responsibilities
Provide technical leadership for data engineering design, development quality, and delivery standards across enterprise data products.
Review technical designs and enforce coding standards before significant development work begins.
Establish engineering standards for data modeling, code reviews, CI/CD, testing, documentation, and deployment.
Lead the development of analytics-ready data models and transformation layers using dbt, including staging, intermediate, and mart layers.
Build and operate cloud-native data ingestion, transformation, and delivery pipelines on AWS, focusing on reliability, performance, and cost efficiency.
Develop reusable engineering patterns to support consistent and repeatable data solutions.
Guide internal and external engineering teams and ensure their work meets established technical standards.
Coach data engineers and analytics engineers through design reviews, collaborative development, technical guidance, and knowledge transfer.
Document engineering patterns, system designs, and operational runbooks to preserve organizational knowledge.
Strengthen data quality through automated testing, source definitions, freshness monitoring, reconciliation, and data lineage.
Lead root cause analysis and remediation for complex production data issues.
Translate business requirements from finance, sales, supply chain, product, and consumer teams into scalable data engineering solutions.
Collaborate with data architecture, cloud engineering, and security teams to meet enterprise architecture, privacy, security, and compliance requirements.
Required Qualifications
Bachelor's degree in Computer Science, Computer Engineering, or a related technical field.
8–10 years of experience building enterprise-grade data platforms, pipelines, and analytics-ready data models.
At least 3 years of technical leadership experience in data engineering, including design reviews and engineering standards enforcement.
Hands-on production experience with dbt as a primary transformation framework, including model design, testing, documentation, CI/CD, and release practices.
Strong experience building AWS data pipelines using services such as S3, Redshift, Glue, Athena, and Lambda.
Experience with cloud data warehouse platforms and distributed engineering teams, including external delivery partners.
Deep knowledge of dimensional modeling, analytics engineering, dbt best practices, and SQL performance tuning.
Strong SQL and Python skills, with working knowledge of orchestration tools such as Airflow.
Experience implementing data quality controls, including automated testing, reconciliation, freshness monitoring, and lineage.
Strong technical design review, coaching, documentation, and knowledge transfer skills.
Ability to translate ambiguous business needs into scalable engineering designs and maintain technical standards across teams.
Excellent problem-solving, root cause analysis, and communication skills.
Ability to work effectively in a fast-paced, matrixed, global environment.
Preferred Qualifications
Master's degree in a related technical field.
Experience supporting machine learning and advanced analytics through curated, feature-ready datasets.
Familiarity with AI-assisted development workflows for data pipeline development, code refactoring, and documentation.
Salary & Benefits
Annual salary: $122,300–$165,000 USD. Individual compensation depends on location, relevant skills, experience, education, and training.
Competitive compensation programs and bonuses.
Financial planning and well-being programs.
Time-off benefits to support personal needs, health, and family commitments.
Employee discounts, additional perks, and community-based programs.
Professional growth and development opportunities.
Comprehensive health and wellness programs.
Work Location
Remote within the United States. Applicants must reside in one of the approved states: Arizona, California, Colorado, Indiana, Massachusetts, Minnesota, New York, Oregon, Pennsylvania, Texas, Utah, or Washington.
The listed salary range reflects the estimated range for Goleta, California. Compensation may vary by location.
Equal Employment Opportunity
Deckers Brands is an equal opportunity employer. The company welcomes qualified applicants from diverse backgrounds and provides consideration without discrimination based on legally protected characteristics.