Data Platform Administrator (DBA)

The Data Platform Administrator is responsible for supporting and managing Maxwood’s growing data platform built on Microsoft Fabric. This role works closely with Data Engineers, BI Analysts, and AI Specialists to ensure our data infrastructure remains scalable, reliable, and optimized for analytics and AI-driven initiatives., * Manage Microsoft Fabric dataflows and pipelines, minimizing downtime and operational failures

• Monitor platform performance and proactively identify opportunities for improvement
• Create and maintain standardized error reporting and issue resolution processes
• Document configurations, procedures, and operational best practices

Data Integration & Connectivity

• Establish and maintain API connections and external data integrations
• Troubleshoot data flow issues and ensure reliable movement of data across systems
• Support data ingestion processes and integration workflows across the organization

Cloud Resource Management

• Manage resource allocation and capacity utilization within Azure
• Monitor platform usage and recommend optimization strategies
• Support scalability planning as data volume and business needs grow

Data Architecture & Enablement

• Partner with Data Engineers and BI Analysts to improve data accessibility and usability
• Work alongside AI Specialists to ensure data is structured, governed, and optimized for AI and machine learning workloads
• Support the ongoing development of a scalable, AI-ready data warehouse environment

What Success Looks Like

• Reliable and efficient Microsoft Fabric operations with minimal downtime
• Stable, well-documented data integrations and workflows
• Effective capacity management and resource optimization within Azure
• High-quality, accessible data that supports reporting, analytics, and AI initiatives
• Strong collaboration across Analytics, BI, Data Engineering, and AI teams
• Consistent adoption of best practices for data governance and platform management

Do you have experience in Commercial use (data warehousing systems)?, * 3+ years of experience in a database, data engineering, analytics, or related technical role

• Strong understanding of relational databases and data warehousing concepts
• Proficiency with SQL
• Experience working with cloud data platforms or modern ETL/ELT tools
• Strong problem-solving skills and attention to detail
• Ability to manage multiple priorities in a fast-paced environment
• Eagerness to learn new tools and technologies in a rapidly evolving data ecosystem, * Experience with Microsoft Fabric
• Familiarity with Azure services including Azure SQL, Synapse Analytics, and Azure Data Factory
• Exposure to Microsoft data tools such as Power BI, SQL Server, and SQL Server Management Studio (SSMS)
• Experience supporting modern analytics or AI-focused data environments, * Analytical and detail-oriented
• Strong problem-solving abilities
• Organized and process-driven
• Collaborative and team-oriented
• Adaptable and eager to learn
• Effective written and verbal communicator
• Proactive and self-motivated

Pulled from the full job description

• Professional development assistance
• Health insurance
• 401(k) matching
• Paid time off
• Employee discount
• Vision insurance
• Dental insurance, * 401(k) with company match
• Dental Insurance
• Employee Assistance Program
• Employee Discount
• Flexible Schedule
• Flexible Spending Account
• Health Insurance
• Life Insurance
• Vision Insurance
• Paid Time Off
• Professional Development Assistance

Maxwood Furniture is a rapidly growing furniture company with an expanding portfolio of brands including Max & Lily, Plank + Beam, and Maxtrix. Since launching over two decades ago, we have established multiple sales channels including our DTC websites and third-party marketplaces. We’re passionate about creating an inspiring and engaging shopping experience for our customers, bringing their home décor dreams to life with stunning, on-trend pieces., This is an excellent opportunity for someone looking to deepen their expertise in modern data platforms, cloud technologies, and data architecture while helping build an AI-ready foundation for a fast-growing organization.