Database Administrator

CMI Media Group; United States; On-site; USD 70,000 - 140,000; Full time

Job summary

CMI Media Group is seeking an experienced Database Administrator / Cloud Data Platform Administrator with 5+ years of hands-on experience to own its Snowflake and Databricks environments on AWS.

You will partner with Data Engineering, Architecture, Security and Analytics teams to ensure high availability, security, and cost efficiency while optimizing complex data workloads and automating operational workflows.

Qualifications

• 5+ years of hands-on experience in database administration, cloud data platform engineering, or a related platform support role.
• Experience administering Snowflake and Databricks in production environments.
• Solid cloud experience, preferably AWS (or Azure/GCP).
• Strong SQL expertise with performance tuning and data pipelines troubleshooting.
• Automation experience with Python, REST APIs, and CI/CD workflows.

Responsibilities

• Manage, support, and scale production Snowflake and Databricks environments for high availability.
• Tune Snowflake warehouses and Databricks clusters for performance and cost efficiency.
• Architect and enforce security baselines, RBAC, and data governance.
• Automate routine tasks using Python, SQL, REST APIs, and IaC; support pipelines and changes.
• Establish backup, recovery, and disaster recovery strategies.
• Collaborate with data engineers and stakeholders to optimize pipelines and deploy new data capabilities.
• Document operational procedures and standards.

Skills

Snowflake admin

Databricks admin

SQL proficiency

Python scripting

CI/CD automation

RBAC & security

Data governance

Cloud AWS

REST APIs

Education

Bachelor's in CS/IS

Tools

Terraform

Delta Lake

Apache Spark

Job description

Are you passionate about building, scaling, and optimizing modern cloud data platforms? We’re looking for an experienced Database Administrator / Cloud Data Platform Administrator with 5+ years of experience to take ownership of our enterprise data platforms—with a focus on Snowflake, Databricks, and AWS.

In this role, you will be the backbone of our data ecosystem. You’ll partner closely with Data Engineering, Architecture, Security, and Analytics teams to ensure our platforms are high-performing, cost-efficient, resilient, and secure. If you thrive on optimizing complex data workloads, automating operational workflows, and solving mission-critical platform challenges, we’d love to meet you.

What You’ll Do

• Platform Administration & Reliability: Manage, support, and scale our production Databricks and Snowflake environments to guarantee high availability and resilience.
• Performance & Cost Optimization: Proactively monitor and fine-tune Snowflake warehouses and Databricks clusters to ensure maximum performance and smart cost utilization.
• Security & Governance: Architect and enforce security baselines, Role-Based Access Controls (RBAC), SSO, and data compliance standards across environments.
• Automation & CI/CD: Automate routine operational and platform maintenance tasks using Python, SQL, REST APIs, and Infrastructure as Code (IaC). Support deployment pipelines and change management.
• Disaster Recovery & Business Continuity: Establish and maintain robust backup, recovery, and disaster recovery strategies.
• Cross-Functional Collaboration: Partner with data engineers, architects, and business stakeholders to troubleshoot complex pipeline bottlenecks and operationalize new data platform capabilities.
• Standards & Documentation: Author clear operational procedures, architectural standards, and playbooks.

What You’ll Bring

• Experience: 5+ years of hands-on experience in database administration, cloud data platform engineering, or a related platform support role.
• Core Tech Stack: Proven experience administering both Snowflake and Databricks in production environments.
• Cloud Expertise: Solid experience working with major cloud infrastructure, preferably AWS (or Azure / GCP).
• Optimization Chops: Strong SQL expertise with a track record of tuning query performance, managing compute resources, and troubleshooting data pipelines.
• Automation & Scripting: Practical experience with Python scripting, REST APIs, automation tooling, and CI/CD workflows.
• Platform Security: Deep understanding of enterprise security practices, access controls (RBAC), data governance, and compliance.
• Mindset & Communication: A sharp problem-solver who communicates clearly, works well across teams, and documents thoroughly.
• Education: Bachelor’s degree in Computer Science, Information Systems, or equivalent practical experience.

Bonus Points If You Have

• Certifications: Snowflake SnowPro Core/Advanced and/or Databricks Certified Associate/Professional.
• Modern Lakehouse Tech: Hands-on exposure to Delta Lake, Apache Spark, Apache Iceberg, or modern lakehouse architectures.
• Infrastructure as Code (IaC): Experience managing data platform infrastructure via Terraform.

The base salary for this position at the time of this posting may range from $70k to $140k. Individual compensation varies based on job related factors, including business needs, experience, level of responsibility and qualifications.