Data Engineer

Job Description

Established in 1968, Cherry Coatings is one of the largest commercial paint contractors in the country. We are a family-owned business that provides architectural, industrial, and maintenance coating services for some of the most recognizable facilities in Texas, Arizona, Tennessee, and beyond. Our strong emphasis on high-quality service and client satisfaction has made us the select partner for general contractors, property management firms, and facility managers.

The Data Engineer will design, develop, and maintain the organization’s Azure-based data infrastructure and manage API integrations across key business systems. This role ensures seamless data flow, interoperability, security, and scalability to support strategic decision-making. The Data Engineer will work closely with IT, business analysts, and department leaders to align data architecture with business goals while upholding CHERRY’s core values.

• Servant Heart: Put Others First
• Cultivate: Invest time developing yourself. Always take time to help & mentor others
• Act Promptly: Respond the way you hope others respond to you. Fast & accurate.
• Innovate: Be Creative. Think outside the box.
• Deliver: Follow through, do what you say, honor your commitments. Go beyond expectations with excellence.

• Design and implement a robust Azure-based data warehouse using Azure Synapse
• Build, manage, and optimize secure data pipelines using Azure Data Factory
• Implement and manage serverless computing solutions using Azure Functions
• Ensure data accuracy, consistency, and availability across systems
• Lead API integration efforts for internal and external systems
• Support data onboarding and integration for acquisitions
• Provide technical documentation and leadership for data architecture and integrations

• Act as DBA for the Azure Synapse environment, ensuring optimal performance and security
• Define and enforce data governance, access controls, and backup strategies
• Integrate ERP, CRM, FSM, and project management platforms with enterprise data systems
• Monitor and resolve API and data pipeline issues
• Manage ETL processes to transform raw data into structured formats for reporting
• Collaborate with BI developers and analysts to ensure timely, accurate, and secure reporting
• Recommend and implement architecture and performance improvements
• Support data integration with Microsoft Fabric and other enterprise platforms

• Proven experience with Azure Synapse, Azure Data Factory, and Azure Functions
• Proficiency in SQL, RESTful APIs, JSON, and third-party system integrations
• Knowledge of ERP, FSM, and project management systems
• Strong understanding of data security, compliance, and optimization
• Familiarity with Microsoft Fabric and Power BI
• Skilled in acquisition data onboarding and merging
• Excellent problem-solving and collaboration skills

• Demonstrated experience building and managing data warehouses and pipelines in Azure
• Strong technical expertise in API integrations and enterprise system connectivity
• Experience with large-scale Azure data architecture and performance tuning
• Ability to work independently and in cross-functional teams

• Prolonged use of a computer while at a desk (seated or standing)
• Occasional lifting of up to 20 pounds