DBA

Career Movement

Santa Fe Springs, CA, United States

4 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

www.wayup.com

Tech stack

Legacy Database Artificial Intelligence Backup Devices C Sharp (Programming Language) Databases Data Infrastructure Extract Transform Load (ETL) Microsoft SQL Server SQL Azure Operational Databases Performance Tuning Power BI

+8 more

SQL Server Integration Services Business Intelligence Development Studio Azure Data Factory Indexer Microsoft Fabric Data Management Data Pipelines Legacy Systems

Job description

We’re working with a growing home furnishings retailer that’s modernizing its data infrastructure, think legacy SQL Server systems evolving into a modern Microsoft Fabric environment feeding BI and emerging AI initiatives. Looking for someone who has spent their career as a database administrator and has since built real depth in Microsoft Fabric, OneLake, and the broader Azure data platform. You’ll own both the keep it running side and the build what’s next side, working closely with a small, high visibility AI/ML function. Responsibilities:

Administer and support SQL Server environments, covering performance tuning, indexing, backups, and security
Lead migration of legacy database workloads into Microsoft Fabric, including Lakehouse and Warehouse architectures
Design and manage data pipelines within Fabric (Data Factory, Dataflows) alongside legacy ETL tools such as SSIS
Administer OneLake capacity, workspaces, and governance settings to support enterprise reporting and analytics
Partner with the AI/ML team to ensure underlying data platforms are structured to support model development and deployment
Balance day to day operational database work with longer term platform build projects
Support BI reporting through Power BI, including semantic models connected to Fabric

Requirements

Solid foundation as a SQL Server database administrator, including performance tuning, indexing, backups, and security
Hands on experience with Microsoft Fabric, including OneLake, Lakehouse, and Warehouse concepts Familiarity with Azure data services such as Data Factory, Synapse, or Azure SQL Database
Experience building or maintaining ETL pipelines, ideally with SSIS
Comfort operating in a hybrid environment where legacy systems and modern cloud pipelines run side by side
Proficiency in Power BI or similar BI tooling
Collaborative mindset for working closely with a small, high visibility AI and ML team Nice to have:
Experience with Fabric governance, capacity planning, or cost management
Understanding of data modeling and warehouse design
Exposure to C# for custom data tooling or automation