Senior Data Operations & Platform Reliability

ERCOT; Taylor (TX); On-site; USD 99,000 - 136,000; Full time

Job summary

ERCOT seeks a senior data platforms engineer to ensure reliability, availability, and operational excellence across cloud and on-premises environments. You will lead incident response, drive automation, and implement robust monitoring and observability for data pipelines and platforms.

The role includes governing migrations, optimizing storage, and designing disaster recovery plans while aligning with FinOps and capacity planning for data workloads.

Qualifications

• 5+ years of job-related work experience in data platforms.
• Background in ITIL process implementation and operational governance.
• Extensive experience with enterprise-scale cloud and on-premises data platforms.

Responsibilities

• Understands and applies principles, theories and concepts related to the profession and ERCOT’s culture.
• Exercises judgment within defined procedures and practices to determine appropriate action.
• Impact is generally limited to specific assignments or projects.
• May respond to inquiries and/or provide assistance and/or guidance to lower level workers.
• Architect monitoring and observability frameworks for data pipelines, BI refreshes, and platform health, leveraging golden signals and automated checks.
• Govern data migrations, releases, and upgrades, ensuring integrity, rollback strategies, and compliance with change management standards.

Skills

ITIL processes

Operational governance

Education

Bachelor’s Degree in Computer Science, Information Systems, or related technical field

Tools

Azure Databricks

ADLS

Oracle

Informatica

SAS

Cognos

Job description

ERCOT seeks a senior data platforms engineer to ensure reliability, availability, and operational excellence across cloud and on-premises environments. You will lead incident response, drive automation, and implement robust monitoring and observability for data pipelines and platforms.

The role includes governing migrations, optimizing storage, and designing disaster recovery plans while aligning with FinOps and capacity planning for data workloads.