Data Operations Analyst Sr

Job Summary

Supports and ensures the reliability, performance, and integrity of enterprise data platforms across cloud (Azure Databricks, ADLS, Power BI) and on‑premises systems (Oracle, Informatica, SAS, Cognos). Works as part of the Data Operations team to monitor data pipelines, troubleshoot incidents, support migrations and releases, and maintain platform stability. Progressively assumes responsibility for operational ownership, automation, observability, governance, optimization and reliability engineering practices to support business‑critical data workloads.

• Own day‑to‑day operations of assigned data platforms or pipeline domains.
• Investigate and resolve moderately complex incidents with minimal supervision.
• Perform root cause analysis for recurring issues and document corrective actions.
• Coordinate with infrastructure, security, and engineering teams during deployments and incident resolution.
• Support migration activities, platform upgrades, and release validation.
• Implement monitoring enhancements and automated health checks.
• Participate in disaster recovery testing and data validation exercises.
• Optimize SQL queries and pipeline performance under guidance.
• Assist in implementing cost‑monitoring practices for cloud workloads.
• Communicate operational status and risks to stakeholders.
• Prioritize workload to meet team service‑level objectives.
• Lead incident response and root‑cause analysis for critical data operations issues and drive permanent fixes (Senior level).
• Architect monitoring and observability frameworks for data pipelines, BI refreshes, and platform health.
• Design and implement automation and infrastructure‑as‑code solutions to streamline operational workflows and environment provisioning.
• Govern data migrations, releases, and upgrades, ensuring integrity, rollback strategies, and compliance with change management standards.
• Optimize data pipelines, queries, and storage strategies for performance, scalability, and cost efficiency across hybrid environments.
• Develop and validate disaster recovery and business continuity plans for data platforms, meeting SLA objectives.
• Drive Fin Ops practices and capacity planning for data workloads, enforcing cost guardrails and resource optimization.
• Implement security and compliance controls for data operations, ensuring audit readiness and adherence to regulatory requirements.
• Act as Subject Matter Expert for data reliability and operational excellence.
• Mentor analysts and curate knowledge assets, fostering best practices in governance and reliability.

• Bachelor’s degree in computer science, information systems, or related field OR equivalent combination.
• Required experience:
  
  Level II – 2+ years in data/platform operations or technical support;
  Level III – 4+ years;
  Senior – 5+ years in data/platform operations or site reliability with enterprise scope.
• Proven experience with hybrid cloud/on‑prem data ecosystems.
• Working knowledge of Azure, SQL, and enterprise data tools (Level II).
• Experience with automation and observability tools (Level III).
• Experience designing and implementing observability, automation, and reliability solutions (Senior).
• Background in ITIL process implementation and operational governance.

Expected Salary Range: $99,000 - $136,000.

ERCOT is firmly committed to equal employment for all qualified persons without regard to race, sex, medical condition, religion, age, creed, national origin, citizenship status, marital status, sexual orientation, physical or mental disability, ancestry, veteran status, genetic information or any other protected category under federal, state or local law.