Database & Data Platform Administrator

Database and Data Platform Administrator

Location:

Penn Center - Denver, CO 80203
Position Type:
Full Time
Salary Range: $ - $
Shift: Day

This dual role is responsible for the reliability, security, and performance of on‑premises and cloud data platforms supporting Colorado PERA systems. Key responsibilities include ensuring data availability by proactively monitoring database and data platform health, enforcing database standards and governance, troubleshooting issues, and advancing database management practices and policies. The role partners across IT and business teams to analyze requirements, design and implement data solutions, and drive continuous process improvements.

It supports new data platform capabilities and enhances existing environments and provides guidance and mentorship to less‑experienced database administrators, data engineers, and developers.

We are seeking a problem‑solver who thrives in complex environments and takes full ownership of hybrid data platforms. The ideal candidate requires deep, hands‑on expertise in on‑premises database technologies (Oracle, DB2, SQL Server) and experience managing cloud‑based platforms such as Snowflake and PostgreSQL. They have strong experience with modern data ecosystem components, including ELT pipelines, metadata management, master data management (MDM), CI/CD, and CDC practices.

They emphasize operational excellence, platform modernization, and developer enablement by developing and supporting Data Ops practices and delivering scalable, secure, and high‑performing database environments.

• Data Ops & Automation
  • Drives Data Ops maturity through CI/CD, automation, and observability best practices
  • Promotes Data Ops practices including automated testing, version control, and deployment orchestration
  • Implements automated promotion processes and environment synchronization, including data overlays
• Platform Reliability & Resilience
  • Ensures platform reliability through proactive monitoring, incident prevention, and resilience engineering
  • Delivers systems with built‑in fault tolerance, backup/recovery strategies, and disaster recovery capabilities
• Platform Optimization & Modernization
  • Leads hybrid platform optimization and modernization initiatives
  • Contributes to enterprise data strategy and long‑term platform evolution
• Data Governance & Integrity
  • Minimizes data duplication and enforces single source of truth principles aligned with MDM strategies
  • Oversees environment consistency and integrity across development, test, and production

• Project Ownership
  • Owns assigned data platform projects by providing analysis, development, testing, and deployment; contributes to larger initiatives through effective collaboration with IT, App Dev and business SMEs
• Technical Solutioning
  • Leverages deep understanding of business requirements to design and implement scalable, high‑performance solutions using existing and new platforms and technologies, ensuring reliability, maintainability, and alignment with strategic objectives
• Technical Design
  • Leads technical approach discussions and independently develops/proposes designs for complex data projects that meet established standards
• Lead Implementation
  • Translates architectural designs into complex technical builds; leads the technical delivery of major projects and peer‑reviews all designs for lean management efficiency

• Troubleshooting
  • Troubleshoots data systems issues (Tier 1/Tier
    2) and resolves incidents (dependent on level: common issues / most issues / all issues without escalation)
• 24/7 On-Call
  • Participates in the 24/7 data systems on‑call rotation, taking tenacious ownership of system stability and minimizing downtime. Documents new fixes discovered during the shift and conducts post‑incident review to improve the team's knowledge
• Operational Excellence
  • Leads the stability of the entire data platform suite. Proactively identifies systemic risks and builds automated recovery/monitoring solutions. Works with the Enterprise Data Architect to…