Senior Database Administrator
Compunnel, Aliso Viejo, CA, United States
Job Summary
We are seeking a Senior Database Administrator with extensive experience in administering and modernizing cloud-first data platforms, primarily Azure and Snowflake, along with secondary support for on-premises SQL Server.
The role focuses on centralized and automated deployments, secure operations including handling sensitive data, performance optimization, and continuous improvement through automation.
Key Responsibilities
Administer and support cloud-first data platforms including Azure data services and Snowflake, along with on-premises SQL Server Manage Azure services such as Azure Data Factory, Azure SQL Database/Managed Instance, Azure Cosmos DB, Azure Database for PostgreSQL, and MongoDB Centralize, standardize, and execute deployments for SQL Server components including SQL code, SQL Agent jobs, SSIS packages, SSAS models, and SSRS reports Design, implement, and maintain CI/CD pipelines and release processes for databases, ETL/ELT pipelines, and analytics artifacts Develop automation and administrative tooling using scripting languages such as PowerShell and Python Monitor, tune, and optimize performance across databases and data warehouses ensuring capacity planning and cost efficiency Implement and manage backup/restore, high availability, disaster recovery, replication, and data protection strategies Operate and manage data ingestion and integration pipelines, including orchestration and data modeling for enterprise data warehouse systems Manage access controls, security configurations, secrets, and auditing across data platforms Ensure secure handling of sensitive data and collaborate with compliance stakeholders to meet regulatory requirements Lead incident response, troubleshooting, root-cause analysis, and production support activities Maintain operational documentation including runbooks and deployment guides Drive continuous improvement through automation, standardization, and intelligent tooling Required Qualifications
8-10+ years of experience administering enterprise data platforms with a focus on Azure data services and Snowflake, along with support for SQL Server 5+ years of experience in building and managing CI/CD pipelines and standardized deployment processes for data platforms Strong experience in performance tuning, monitoring, capacity planning, and incident management for mission-critical systems Experience implementing security controls, access management, and auditing across data platforms Proficiency in Azure SQL Database/Managed Instance, Snowflake, and on-premises SQL Server administration Working knowledge of Azure Cosmos DB, Azure Database for PostgreSQL, and MongoDB Experience with Azure Data Factory orchestration, monitoring, and troubleshooting Strong understanding of data modeling, ELT processes, and data quality/lineage concepts Experience deploying and managing analytics tools such as Tableau and Alteryx Proficiency in scripting using PowerShell and Python for automation Strong understanding of DevOps practices, source control, and release management Preferred Qualifications
Experience working in regulated environments requiring secure data handling Familiarity with modern data warehouse architectures and cloud-based data ecosystems Experience with AI-assisted tooling for automation and operational efficiency
We are seeking a Senior Database Administrator with extensive experience in administering and modernizing cloud-first data platforms, primarily Azure and Snowflake, along with secondary support for on-premises SQL Server.
The role focuses on centralized and automated deployments, secure operations including handling sensitive data, performance optimization, and continuous improvement through automation.
Key Responsibilities
Administer and support cloud-first data platforms including Azure data services and Snowflake, along with on-premises SQL Server Manage Azure services such as Azure Data Factory, Azure SQL Database/Managed Instance, Azure Cosmos DB, Azure Database for PostgreSQL, and MongoDB Centralize, standardize, and execute deployments for SQL Server components including SQL code, SQL Agent jobs, SSIS packages, SSAS models, and SSRS reports Design, implement, and maintain CI/CD pipelines and release processes for databases, ETL/ELT pipelines, and analytics artifacts Develop automation and administrative tooling using scripting languages such as PowerShell and Python Monitor, tune, and optimize performance across databases and data warehouses ensuring capacity planning and cost efficiency Implement and manage backup/restore, high availability, disaster recovery, replication, and data protection strategies Operate and manage data ingestion and integration pipelines, including orchestration and data modeling for enterprise data warehouse systems Manage access controls, security configurations, secrets, and auditing across data platforms Ensure secure handling of sensitive data and collaborate with compliance stakeholders to meet regulatory requirements Lead incident response, troubleshooting, root-cause analysis, and production support activities Maintain operational documentation including runbooks and deployment guides Drive continuous improvement through automation, standardization, and intelligent tooling Required Qualifications
8-10+ years of experience administering enterprise data platforms with a focus on Azure data services and Snowflake, along with support for SQL Server 5+ years of experience in building and managing CI/CD pipelines and standardized deployment processes for data platforms Strong experience in performance tuning, monitoring, capacity planning, and incident management for mission-critical systems Experience implementing security controls, access management, and auditing across data platforms Proficiency in Azure SQL Database/Managed Instance, Snowflake, and on-premises SQL Server administration Working knowledge of Azure Cosmos DB, Azure Database for PostgreSQL, and MongoDB Experience with Azure Data Factory orchestration, monitoring, and troubleshooting Strong understanding of data modeling, ELT processes, and data quality/lineage concepts Experience deploying and managing analytics tools such as Tableau and Alteryx Proficiency in scripting using PowerShell and Python for automation Strong understanding of DevOps practices, source control, and release management Preferred Qualifications
Experience working in regulated environments requiring secure data handling Familiarity with modern data warehouse architectures and cloud-based data ecosystems Experience with AI-assisted tooling for automation and operational efficiency