Data Platform Administrator (DBA)

Maxwood Furniture•Charleston, SC

23h•Onsite

About The Position

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. We are seeking a new member to join our Analytics team. Are you ready to be part of something amazing? Role Overview 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. 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.

Requirements

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

Nice To Haves

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

Responsibilities

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
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
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
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