Senior Data Product Engineer

🕒 July 13

🏄 California – Remote

🏄 California – Remote

💵 $135.9k - $207.9k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Deckers Brands

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1973

👥 B2C

👗 Fashion

🛒 Retail

B2C • Fashion • Retail

Deckers Brands is a global leader in designing, marketing, and distributing innovative footwear, apparel, and accessories. Known for its high-quality products and trendsetting designs, Deckers Brands encompasses a portfolio of well-known brands that appeal to diverse consumer segments worldwide.

📋 Description

• 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

• 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

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