Hybrid Data Management & DB Administration Specialist

Trellis Company; Round Rock (TX); Híbrido; USD 86.000 - 132.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical benefits

Tuition Assistance

12 paid holidays

Descripción de la vacante

Trellis Company is seeking a Data Management and Database Services Specialist in Round Rock, TX. The role focuses on IBM Db2, SQL Server, and cloud database services, ensuring security, governance, and availability for enterprise data assets.

The position supports Azure data services, data integration, and AI-enabled analytics while collaborating with stakeholders to deliver reliable, scalable data platforms in a hybrid work model.

Formación

• Bachelor's degree in a related field and five years of database administration experience.
• Experience with IBM Db2 and SQL Server in multi-platform environments.
• Experience implementing security controls, data governance, and disaster recovery.

Responsabilidades

• Administer IBM Db2 and SQL Server environments, including patching and performance tuning.
• Design and implement backup, recovery, and high-availability strategies.
• Collaborate with stakeholders to align data platforms with business needs.
• Automate recurring tasks using PowerShell or Python.

Conocimientos

IBM Db2 administration

SQL Server administration

Azure SQL Database

Data governance

Security controls

PowerShell

Python

Cloud data platforms

Educación

Bachelor's degree in Computer Science, Information Systems, Data Management, Database Administration, IT

Herramientas

Azure Data Factory

Azure Synapse Analytics

Data Lake Storage

Microsoft Fabric

Descripción del empleo

Trellis Company is seeking a Data Management and Database Services Specialist in Round Rock, TX. The role focuses on IBM Db2, SQL Server, and cloud database services, ensuring security, governance, and availability for enterprise data assets.

The position supports Azure data services, data integration, and AI-enabled analytics while collaborating with stakeholders to deliver reliable, scalable data platforms in a hybrid work model.