Data Engineer

• Design, deploy, and maintain secure and scalable database environments, primarily in Microsoft SQL Server and Azure SQL.
• Monitor and optimize database performance, query efficiency, and storage management.
• Manage backup, restore, high availability (HA), and disaster recovery (DR) strategies.
• Design and build scalable ETL/ELT pipelines using tools such as Azure Data Factory, Microsoft Fabric Dataflows, or Databricks.
• Work with stakeholders to understand data needs and deliver robust data integration solutions.
• Manage Azure data solutions including Azure SQL, Synapse Analytics, Cosmos DB, Microsoft Fabric, and Blob Storage.
• Develop infrastructure-as-code (IaaC) scripts using Terraform to provision and manage data services.
• Implement automation for monitoring, patching, and deployment of data infrastructure across cloud environments.
• Enforce data security, encryption, and access control policies across all data layers.
• Mentor junior DBAs and data engineers, sharing knowledge and driving best practices in data architecture and engineering.

Senior DBA, Data Engineer

Staff Data Engineer

Data Engineer

Senior Data Engineer

Data Engineer

Senior Data Architect