Senior Data Product Engineer

Deckers Brands

Senior Data Product Engineer at Deckers Brands responsible for developing enterprise data platforms. Leading technical teams and ensuring high-quality, scalable data products.

Posted 7/13/2026full-timeRemote • California • 🇺🇸 United StatesSenior💰 $135,949 - $207,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing scalable enterprise data platforms within a distributed data mesh architecture, utilizing advanced data engineering workflows and cloud-based infrastructure. Proficient in managing agile development processes and leading cross-functional teams to deliver high-quality data products aligned with organizational governance standards.

Highest-signal resume keywords

Data Platform DevelopmentData Engineering WorkflowsAgile Project ManagementELT Pipelines ImplementationCloud-Based Data Infrastructure

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Mesh ArchitectureData Transformation WorkflowsDbtAmazon RedshiftQlikFiveTranAgile MethodologiesData ModelingData GovernanceTechnical Documentation

Soft Skills

Technical LeadershipMentorshipStakeholder EngagementCross-Functional CollaborationProject Management

Tools & Technologies

JiraConfluenceAWSCloud InfrastructureAgile Tools

Industry Keywords

Data EngineeringData AnalyticsEnterprise EnvironmentsData ArchitectureData FabricData Lakes

Tech Stack

Tools & technologies

Amazon RedshiftAWSCloud

About the role

Key responsibilities & impact

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

What you’ll need

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 with managing Agile scrum teams focused on data infrastructure and analytics.
hands-on experience with dbt, Amazon Redshift or equivalent cloud-based data warehouses.
ELT workflows using Qlik and FiveTran.
implementing data architectures to include: data mesh, data fabric, or data lakes.
Agile project management tools to include Jira and Confluence.
cloud-based data infrastructure, particularly within AWS ecosystems.
managing multiple projects simultaneously while meeting established deadlines and driving cross-functional alignment.
preparing technical documentation and written communications to ensure stakeholder engagement.

Benefits

Comp & perks

Competitive Pay and Bonuses
Financial Planning and wellbeing
Time away from work
Extras, discounts and perks
Growth and Development
Health and Wellness