Master Data Engineer III

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The Simplot Company is a diverse, privately held global food and agriculture company headquartered in Boise, Idaho. We are a true farm-to-table company with an integrated portfolio including food processing and food brands, phosphate mining, fertilizer manufacturing, farming, ranching and cattle production, and other enterprises related to agriculture.

The Master Data Engineer III serves a critical role in designing, developing, and supporting enterprise data solutions that enable reliable, scalable, and high-quality data across the organization. Leveraging advanced technical expertise, business acumen, and deep understanding of data engineering principles, this role is responsible for solving complex data challenges, leading technical initiatives, and driving continuous improvements in data architecture, integration, and operational processes.

The Master Data Engineer III partners closely with business stakeholders, architects, analysts, vendors, and technical teams to understand strategic requirements and translate them into effective data solutions. This role acts as a technical leader and subject matter expert, guiding solution design, reviewing technical outcomes, defining standards, and providing mentorship to other engineers. The Master Data Engineer III works independently on projects of diverse scope and complexity, balances competing priorities, and exercises sound judgment in developing innovative solutions that align with business objectives and enterprise architecture standards.

Maintaining a broad understanding of evolving business needs, technologies, and data management practices is essential to ensure data solutions continue to meet organizational requirements. This position frequently represents the data engineering function to leadership and plays a key role in establishing best practices, improving processes, and ensuring the stability and scalability of enterprise data platforms.

Technical

• Lead the design, development, implementation, and support of complex data engineering solutions that enable enterprise reporting, analytics, integrations, and operational processes.
• Partner with business and technical stakeholders to gather, analyze, and translate complex business requirements into scalable technical solutions.
• Perform detailed analysis of data architecture, data flows, integrations, and technical requirements to identify effective solutions for business needs.
• Design and review data models, data pipelines, and integration architectures that support enterprise objectives while ensuring performance, scalability, and maintainability.
• Lead technical design reviews, solution reviews, and outcome reviews to ensure adherence to engineering standards and best practices.
• Develop, execute, and oversee comprehensive testing and deployment strategies, including manual and automated testing procedures, to ensure solution quality and operational stability.
• Apply advanced technical expertise across multiple data engineering technologies to provide support, troubleshooting, and maintenance for production solutions.
• Serve as a technical subject matter expert for assigned technologies or domains, owning escalations of the highest complexity and driving issue resolution.
• Mentor and provide technical guidance to Data Engineers and other team members through knowledge sharing, coaching, and solution reviews.

Leadership

• Collaborate with architects, business leaders, and technical teams to define standards, improve engineering processes, and establish best practices.
• Lead or contribute to strategic initiatives requiring innovation and development of new approaches to complex business and technical challenges.
• Manage and coordinate vendor deliverables and technical activities to ensure successful execution of project objectives.
• Represent the data engineering team in interactions with leadership, business stakeholders, vendors, and cross-functional technical teams.
• Provide project leadership for assigned initiatives, including effort estimation, technical planning, risk identification, and resource coordination.
• Evaluate emerging…