Database Administrator (Hybrid)

Description

• Security and compliance: design and implement role-based access control (RBAC) to enforce database security. Support data governance and change management practices in alignment with emerging standards and practices.
• Managing Microsoft SQL Server in a production environment.
• Modernization and cloud migration: support initiatives to transition from legacy systems to modern, cloud-based platforms and improve database structures and workflows.
• Configuring and maintaining role-based access control (RBAC) in SQL Server.
• Strategic planning: focus on adopting emerging technologies like NoSQL, vector databases, and Azure-native services. Support AI/ML initiatives through data readiness and contribute to high availability and disaster recovery strategies.
• Database administration and maintenance: administer and maintain SQL Server environment. Perform patching, upgrades, performance tuning and routine maintenance tasks such as indexing and backups.

Requirements

• Must be legally authorized to work in the United States without the need for sponsorship by Barr, now or in the future.
• Ability to work with JSON-based or schema-less data models and flexible indexing strategies.
• SQL Server backup, recovery, and high availability strategies, particularly SQL Server replication.
• Experience with NoSQL databases such as MongoDB, Redis, or DynamoDB for managing unstructured or semi-structured data.
• Software/Programs: SQL Server, SQL Server Integration Services (SSIS), Microsoft Azure ecosystem (e.g., Azure SQL Database, Azure Monitor).
• Exposure to cloud-native database services in Azure.
• Familiarity with graph databases like Neo4j or Amazon Neptune and their use in knowledge graphs or relationship modeling.
• Experience: 5 or more years of relevant experience
• Knowledge of cloud-based database services, particularly within the Microsoft Azure ecosystem (e.g., Azure SQL Database, Azure Monitor).
• Proficiency in T-SQL, query optimization, and database performance tuning.
• Understanding of data architecture patterns used in AI/ML pipelines, including support for retrieval-augmented generation (RAG), chat history storage, or metadata management.
• Education: bachelor’s degree in computer science, data engineering, information systems, or a related field or equivalent experience
• Communication: strong interpersonal, oral, and written communication skills and the ability to communicate effectively with a variety of different people.
• Familiarity with vector databases (e.g., Pinecone, Weaviate, Qdrant, Milvus) or the concept of embedding storage for AI/ML applications.

Benefits

• Competitive, affordable insurance plans: Medical, dental, vision, life, disability, accidental death insurance, and flexible spending accounts for medical and dependent care
• Profit distribution: Barr has a "no retained earnings" model and distributes all profit to our employees through our annual bonus distribution plan, ESOP, and dividends to shareholders
• Compensation: anticipated range of $80,000–100,000 annually. Compensation will vary based on relevant experience, education, skill level, and other compensable factors. Employees in this position may also be eligible for a discretionary cash bonus based on team and individual performance. This position is classified as exempt under the Fair Labor Standards Act.
• Retirement benefits: 401(k) retirement savings plan with company contribution and an Employee Stock Ownership Plan (ESOP) with company contribution in Barr stock
• A hybrid work arrangement may be considered for this position. A hybrid work arrangement refers to splitting time worked between a Barr office and a home office. This position is based out of Barr's Minneapolis, Minnesota, office.
• Wellness focus: Ergonomic analysis and equipment, Personal Protective Equipment allowance, wellbeing-focused educational opportunities
• Work/life balance: Paid time off, holidays, overtime for non-exempt/hourly staff, and compensatory time for exempt/salaried staff (time off or pay for extra time worked), paid family leave
• Professional development benefits: Annual time and expense allowances, mentorship program, and many internal training opportunities

Training + Development

Interview process

Visa Sponsorship

Security clearance