Senior Data Engineer

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Sonny's Enterprises Inc. - Conveyorized Car Wash Equipment Leader

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1949

🤝 B2B

🛒 Retail

🛍️ eCommerce

B2B • Retail • eCommerce

Sonny's Enterprises Inc. is a leader in conveyorized car wash equipment, providing a wide range of solutions including car wash parts, supplies, controls, chemistry, signage, marketing, and services. They offer extensive support and resources for car wash owners, including a learning center dedicated to industry knowledge and development, ensuring customers have access to the necessary tools to operate their car wash effectively.

📋 Description

• Lead Databricks lakehouse execution across bronze, silver, and gold with a focus on maintainable Lakeflow-driven pipelines and high-quality curated outputs. • Own common data model implementation, conformed dimensions, fact design, and reusable gold datasets for reporting, forecasting, and AI/BI consumption. • Design and build scalable data models for SAP, manufacturing, finance, sales, supply chain, and operational domains. • Partner on source onboarding and ensure new data is shaped into governed medallion outputs that are usable for analytics and AI. • Implement data quality checks, reconciliation logic, documentation, and performance optimization across structured data assets. • Provide technical leadership for engineering backlog execution, code quality, testing discipline, and repeatable delivery standards in Databricks.

🎯 Requirements

• 7+ years of experience in data engineering with strong ownership of Databricks, data modeling, and production data pipelines. • Deep experience with Spark, SQL, Python, medallion architecture, and dimensional or conformed data model design. • Experience working with SAP or comparable ERP data and complex manufacturing, finance, supply chain, or commercial subject areas. • Experience building governed curated datasets for BI, forecasting, and AI enablement. • Strong understanding of ETL/ELT patterns, source-to-target mapping, data quality, and performance optimization. • Experience with Lakeflow, Fivetran-fed source patterns, Unity Catalog governance, and Power BI semantic consumption, preferred. • Experience supporting AI/BI readiness, trusted metrics, and curated outputs for natural-language analytics, preferred. • Exposure to observability, CI/CD, and testing frameworks in Databricks, preferred.

🏖️ Benefits

• 100% employer paid medical plan. • 401(k) match. • Additional medical plans. • Dental. • Vision. • Flex spending account. • Short-term and long-term disability & life insurance coverage.