2 months ago
Remote, United StatesStaff+

Base Salary

$122k - $165k/yr

Responsibilities

  • Provide day-to-day technical leadership for data engineering design, build quality, and delivery standards across enterprise data products.
  • Review designs and enforce coding standards across internal and partner engineering teams.
  • Own standards for data model design, naming, code review, testing, documentation, and deployment practices.
  • Lead analytics-ready data modeling and transformation layers using dbt, including staging, intermediate, and mart layers.
  • Build and operate reliable, performant, and cost-efficient cloud-native data pipelines on AWS.
  • Establish reusable ingestion, transformation, and delivery patterns.
  • Provide technical direction to distributed engineering teams and external delivery partners.
  • Coach data engineers and analytics engineers through design reviews, pairing, technical guidance, and knowledge transfer.
  • Document engineering patterns, designs, and runbooks to reduce key-person dependency.
  • Drive data quality practices including source definitions, freshness monitoring, automated tests, reconciliation, and lineage.
  • Lead root cause analysis and remediation for complex production data issues.
  • Translate stakeholder needs into scalable data engineering designs and partner with architecture, cloud engineering, and security teams on enterprise requirements.

Requirements

  • Bachelor’s degree required, preferably in Computer Science, Computer Engineering, or a related technical field; a master’s degree is preferred.
  • 8–10 years of experience building enterprise-grade data platforms, pipelines, and analytics-ready data models.
  • At least 3 years providing technical leadership on data engineering delivery, including design review and standards enforcement.
  • Production experience using dbt as a primary transformation framework, including model design, testing, documentation, and release practices.
  • Strong experience delivering data pipelines on AWS and cloud data warehouse platforms.
  • Experience directing distributed engineering teams, including external delivery partners.
  • Experience with data quality practices such as automated testing, reconciliation, freshness monitoring, and lineage.
  • Preferred experience supporting machine learning and advanced analytics through curated, feature-ready datasets.
  • Deep expertise in dimensional modeling, analytics engineering, dbt best practices, and SQL performance tuning.
  • Strong AWS data engineering skills involving pipeline reliability, performance tuning, and cost awareness.
  • Ability to set and enforce standards across teams without direct management authority.
  • Strong design review, technical coaching, knowledge transfer, problem-solving, and root cause analysis skills.
  • Ability to translate ambiguous business requirements into scalable and repeatable engineering designs.
  • Proficiency in SQL and Python, with working knowledge of orchestration tooling such as Airflow.
  • Familiarity with AI-assisted development workflows for pipeline development, refactoring, and documentation.
  • Strong communication skills and comfort working in a fast-paced, matrixed, and global environment.

Benefits

  • Competitive pay and bonus programs.
  • Financial planning and wellbeing programs supporting income protection, expenses, and future investment.
  • Time-away programs supporting family needs, health, and personal recharge.
  • Employee discounts, community-based programs, and other perks.
  • Professional and personal growth and development opportunities.
  • Comprehensive health and wellness programs.
  • Remote work in the US, limited to approved states: Arizona, California, Colorado, Indiana, Massachusetts, Minnesota, New York, Oregon, Pennsylvania, Texas, Utah, and Washington.

Tech Stack

Amazon RedshiftApache AirflowAWSdbtPythonSQL

Categories

Data Engineering
Deckers Outdoor Corporation

About Deckers Outdoor Corporation

5,001-10,000 employees

Deckers Outdoor Corporation (Deckers Brands) designs, markets, and distributes footwear, apparel, and accessories for lifestyle and performance consumers, selling through direct-to-consumer e-commerce and retail stores as well as wholesale partners. Its portfolio includes UGG, HOKA, and Teva. Founded in 1973 and headquartered in Goleta, California, Deckers is a public company traded on the NYSE.

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