Data Platform Engineer

Maxwood FurnitureCharleston, SC
just nowOnsite

About The Position

Maxwood Furniture is a rapidly growing furniture company with an expanding portfolio of brands such as 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 decor dreams to life with stunning, on-trend pieces. We are seeking a new member to add to our Analytics team. Are you ready to be a part of something amazing? Position Overview We are seeking a Data Platform Engineer to manage our growing data platform built on Microsoft Fabric. In this role, you will work closely with Data Engineers, BI Analysts, and AI Specialists to help scale and operate an AI-ready data warehouse infrastructure. This is an excellent opportunity for someone looking to expand and strengthen their skills within the realm of data science and data architecture.

Requirements

  • 3+ years of experience in a database, data engineering, or analytics role
  • Heightened understanding of relational databases and data warehousing concepts
  • Proficiency with SQL
  • Strong knowledge of cloud data platforms or modern ETL/ELT tools
  • Problem-solving skills and attention to detail
  • Willingness to learn new tools and technologies in a fast-evolving environment

Nice To Haves

  • Experience with Microsoft Fabric
  • Familiarity with Azure services (e.g., Azure SQL, Synapse, Data Factory)
  • Exposure to other Microsoft data tools such as Power BI, SQL Server, or SSMS

Responsibilities

  • Manage all Microsoft Fabric dataflows and pipelines, minimizing downtime and failures
  • Establish and maintain API connections and external data integrations
  • Create standardized error reporting
  • Manage resource allocation and capacity management within Azure
  • Work alongside AI specialists to ensure data is structured, governed, and optimized for AI and machine learning workloads
  • Help optimize data access and usability for Data Engineers and BI Specialists
  • Document processes, configurations, and operational best practices

Benefits

  • 401(k) matching
  • Dental insurance
  • Employee assistance program
  • Employee discount
  • Flexible schedule
  • Flexible spending account
  • Health insurance
  • Life insurance
  • Vision insurance
  • Paid time off
  • Professional development assistance

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

11-50 employees

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