Senior Database Administrator

Peraton

$135K — $216K *
US-AnywhereRemote in United States
Information Technology
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • 12+ years of experience with a BS/BA; 10+ years with MS/MA; 7+ years with a Ph.D.
  • Hands-on Snowflake administration expertise, covering access control and performance optimization.
  • Experience with managing Databricks configurations and user policies, focusing on cost-efficiency.
  • Strong SQL skills for querying and performance tuning tasks.
  • Proven background in enforcing data governance and security protocols.
  • Familiarity with AWS services, particularly S3 and IAM, for data pipelines.
  • Ability to monitor and optimize platform performance, focusing on reliability and cost reduction.
  • Excellent communication skills for liaising with technical and non-technical stakeholders.

Responsibilities

  • Serve as the primary technical owner of user access and permissions for Snowflake and Databricks.
  • Ensure systems are performant, secure, and accessible for data professionals.
  • Oversee platform configuration, user access management, and integration with data systems.
  • Collaborate closely with data scientists and engineers to maintain a compliant analytics environment.
  • Implement optimizations to support evolving program requirements.

Benefits

  • Challenging role in a cloud-based, high-performance analytics environment.
  • Opportunity to work with cutting-edge technologies in data management.
  • Collaboration with skilled professionals in data science and engineering fields.
Full Job Description
Responsibilities

The Senior Database Administrator plays a critical role in managing, optimizing, and governing the core data platforms that power the CMS FPS program's cloud-based, high-performance analytics environment.

 

In this role, you will:

  • The Senior Database Administrator is the primary technical owner of the end users' access and permissions to Snowflake and/or Databricks platforms.
  • They are responsible for ensuring these systems are performant, secure, well-governed, and accessible to data scientists, analysts, and engineers across the program.
  • will oversee platform configuration, user and access management, cost optimization, and integration with upstream and downstream data systems.
  • This role requires close collaboration with data scientists, ML engineers, platform infrastructure teams, and program stakeholders to ensure the analytics environment remains stable, compliant, and aligned with evolving program needs.

 

Qualifications

Mandatory Qualificationss:

  • Minimum of 12 years with BS/BA; Minimum of 10 years with MS/MA; Minimum of 7 years with Ph.D.
  • Hands-on experience administering Snowflake environments, including virtual warehouse management, user/role-based access control, database/schema design, query optimization, and data sharing configurations.
  • Demonstrated ability to configure and manage Databricks workspaces, clusters, job pipelines, and access policies, including experience with cluster sizing, autoscaling, and cost management.
  • Strong proficiency in SQL for data querying, platform administration tasks, and performance tuning.
  • Experience enforcing data governance frameworks, role-based access control, and data security policies.
  • Familiarity with PII/PHI handling requirements and encrypted data storage standards.
  • Working knowledge of AWS services (S3, IAM, Lambda) and their integration with Snowflake and Databricks for data ingestion, storage, and pipeline orchestration.
  • Ability to monitor platform health, analyze query performance, identify bottlenecks, and implement optimizations to improve reliability and reduce cost.
  • Familiarity with SDLC fundamentals and experience using GitHub for version control and collaborative configuration management.
  • Excellent written and verbal communication skills, with the ability to support data scientists, engineers, and program stakeholders and clearly communicate platform changes and issues.
  • Ability to obtain and maintain a Public Trust clearance.
  • Must be a US citizen or a Green Card holder and have been in the USA for 3 of the last 5 years.

Preferred Qualifications:

  • Experience with Databricks Unity Catalog for unified data governance, lineage tracking, and fine-grained access control across workspaces.
  • Familiarity with Databricks Feature Store for managing and sharing ML features across model development workflows.
  • Experience with Databricks REST APIs for programmatic workspace management, job orchestration, and platform automation.
  • Advanced Apache Spark architecture knowledge and experience tuning distributed data processing workloads for performance and cost efficiency.
  • Experience with Snowflake Data Sharing, external stages, and Snowpipe for automated, continuous data ingestion.
  • Familiarity with MLflow and how model governance workflows interact with the Databricks and Snowflake platform layers.
  • Prior experience working within CMS, including familiarity with CMS data systems, workflows, and governance structures.
  • Knowledge of healthcare claims data, Medicare/Medicaid program data, or federal health analytics use cases.
  • Experience with Confluence/JIRA for SAFe Agile project tracking and cross-functional documentation.
Target Salary Range$135,000 - $216,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.

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