Database Architect

Reily Foods Company is seeking an experienced and highly technical Database Architect to lead the design, development, optimization, and long‑term strategy of enterprise data platforms and integrations. This role will be responsible for architecting scalable database solutions that support ERP, analytics, reporting, integrations, and operational business processes across the organization.

The ideal candidate will possess deep expertise in SQL, Python, modern cloud data platforms, and enterprise ERP ecosystems such as Microsoft Dynamics 365 Finance & Operations or similar ERP solutions. This individual must be comfortable partnering with both functional business users and technical teams to translate operational requirements into scalable, maintainable, and high‑performing data solutions.

This role will play a critical part in advancing enterprise reporting, analytics, automation, and data warehouse modernization initiatives.

• Architect, design, and maintain enterprise database environments, data warehouses, and data integration frameworks.
• Develop and optimize complex SQL queries, stored procedures, views, functions, and performance tuning strategies.
• Design and implement scalable ETL/ELT processes using Python and modern cloud‑based data platforms.
• Lead development efforts utilizing platforms such as Microsoft Fabric, Databricks, or similar enterprise data engineering technologies.
• Partner closely with ERP teams to support integrations, reporting, analytics, and operational data requirements.
• Work collaboratively with stakeholders to understand reporting and operational needs and translate them into technical solutions.
• Support data architecture and integration efforts related to ERP platforms including Microsoft Dynamics 365 Finance & Operations or similar enterprise ERP systems.
• Support environment management, deployments, and release coordination activities within Microsoft Dynamics Lifecycle Services and Microsoft Power Platform Admin Center environments related to ERP and application ecosystems.
• Establish and maintain database standards, governance practices, naming conventions, security protocols, and documentation.
• Monitor database performance, troubleshoot issues, and proactively identify optimization opportunities.
• Collaborate with development teams, infrastructure teams, analysts, and external vendors on cross‑functional projects.
• Provide technical mentorship and guidance to developers, analysts, and support personnel.
• Participate in architecture reviews, planning, and long‑term data strategy initiatives led by leadership.
• Support label/report development and document generation solutions as needed (experience with label development platforms is a plus).

We offer a comprehensive and thoughtfully designed benefits package that supports the well‑being, financial security, and work‑life balance of our employees.

• 10 Paid Company Holidays
• Generous Paid Vacation & Sick Time
• Comprehensive, Affordable Medical, Dental & Vision Coverage for you and your family
• Health Savings Account (HSA) with company contributions
• Flexible Spending Accounts (FSA) & Dependent Care FSA (DCFSA)
• 401(k) Retirement Plan with company match and discretionary profit sharing
• Employee Assistance Program (EAP) and financial wellness resources
• Company‑Paid Disability
• Company‑Paid Life Insurance equal to 3× annual compensation
• And more benefits designed to support your health, wealth, and well‑being

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field preferred; equivalent hands‑on experience will be considered.
• 10+ years of experience in database architecture, database administration, enterprise data engineering, or related technical roles.
• Advanced expertise in SQL development, query optimization, indexing strategies, and relational database design.
• Strong Python development experience focused on data engineering, automation, integrations, and analytics workflows.
• Hands‑on experience with cloud data platforms such as Microsoft Fabric, Databricks, or comparable enterprise data engineering technologies.
• Experience…