Senior Database Administrator

Compunnel, Inc.; Aliso Viejo (CA); On-site; USD 120,000 - 150,000; Full time

Job summary

A data solutions company is looking for a Senior Database Administrator in Aliso Viejo, California. The role involves managing cloud-first data platforms, especially Azure and Snowflake, and optimizing performance. Candidates should have over 8 years of experience with a focus on Azure services and CI/CD pipelines. Responsibilities include automating deployments, securing data access, and ensuring incident management. This position is essential for maintaining high availability and performance across enterprise data systems.

Qualifications

• 8–10+ years of experience administering enterprise data platforms focused on Azure and Snowflake.
• 5+ years in building and managing CI/CD pipelines for data platforms.
• Strong experience in performance tuning and incident management.

Responsibilities

• Administer and support cloud-first data platforms including Azure data services and Snowflake.
• Centralize and execute deployments for SQL Server components.
• Design and maintain CI/CD pipelines for databases and analytics.

Skills

Azure data services

Snowflake

SQL Server

CI/CD pipelines

PowerShell

Python

Data modeling

Tools

Azure Data Factory

Tableau

Alteryx

Job description

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