Love Your Outdoors
Director – Data Engineering
Location
United States
Posted
1 day ago
Salary
0
Seniority
Lead
Job Description
Director – Data Engineering
POLYWOOD®
• Design and implement a scalable lakehouse medallion architecture within Databricks. • Establish ingestion, canonical, and business-ready data modeling layers with clear standards and naming conventions. • Build and maintain structured, governed fact and dimension models for enterprise reporting. • Oversee ingestion pipelines using Fivetran, Airbyte, and custom integrations while optimizing cost and performance. • Develop and manage SQL and Python transformation jobs including incremental processing, upsert logic, and snapshot modeling. • Implement orchestration, monitoring, data quality validation, and failure recovery processes. • Define enterprise data governance standards including access controls and reconciliation processes. • Integrate ERP, Shopify, GA4, Google Ads, Meta Ads, and catalog marketing data into unified customer and order models. • Lead and mentor a small team of data and analytics engineers while setting coding and review standards.
Job Requirements
- 7+ years of experience in data engineering, analytics engineering, or data architecture.
- 3+ years leading data platform or warehouse initiatives.
- Expert-level expertise in Databricks and medallion architecture design.
- Advanced SQL proficiency and strong Python experience for data transformations.
- Experience designing fact/dimension models and implementing incremental pipelines and snapshot logic.
- Strong understanding of data governance, access control, and quality frameworks.
- Experience integrating commerce, finance, ERP, and marketing data sources into structured models.
- Strong communication skills and the ability to collaborate across technical and business teams.
Benefits
- Valued Contribution: Build the foundational data infrastructure that powers enterprise decisions.
- Growth Opportunities: Shape standards, architecture, and long-term data strategy.
- Team Environment: Partner with business leaders and analytics teams to deliver trusted insights.
- Purpose Driven Work: Enable scalable analytics that strengthen operations, finance, and commerce performance.
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