Senior Data Product Engineer
About The Position
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. Your Impact: The primary functions of this role, include but are not limited to: 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.
- 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.
Nice To Haves
- 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.
Responsibilities
- 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.
Benefits
- Competitive Pay and Bonuses
- Financial Planning and wellbeing
- Time away from work
- Extras, discounts and perks
- Growth and Development
- Health and Wellness
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What This Job Offers
Job Type
Full-time
Career Level
Senior
