ERCOT Logo

ERCOT

Data Operations Analyst Sr

Reposted 8 Days Ago
In-Office
Austin, TX, USA
90K-153K Annually
Senior level
In-Office
Austin, TX, USA
90K-153K Annually
Senior level
The Data Operations Analyst Sr. ensures the reliability and performance of data platforms, optimizing operations, leading incident responses, and implementing automation, to effectively support enterprise data workloads.
The summary above was generated by AI

At ERCOT, our diverse and dynamic work environment provides a platform on which employees can work together to build the future of the Texas power grid and wholesale market utilizing the latest technologies and resources.  We encourage you to join our talented, dedicated workforce to develop world-class solutions for today and tomorrow’s energy challenges while learning new skills and growing your career.

ERCOT is committed to fostering inclusion at all levels of our company. It is the cornerstone of our corporate values of accountability, leadership, innovation, trust, and expertise. We know that individuals with a wide variety of talents, ideas, and experiences propel the innovation that drives our success. An inclusive and diverse workforce strengthens us and allows for a collaborative environment to solve the challenges that face our industry today and in the future.

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.

Job Duties

Level 2 & 3

  • Owns day-to-day operations of assigned data platforms or pipeline domains.
  • Investigates and resolves moderately complex incidents with minimal supervision.
  • Performs root cause analysis for recurring issues and documents corrective actions.
  • Coordinates with infrastructure, security, and engineering teams during deployments and incident resolution.
  • Supports migration activities, platform upgrades, and release validation.
  • Implements monitoring enhancements and automated health checks.
  • Participates in disaster recovery testing and data validation exercises.
  • Optimizes SQL queries and pipeline performance under guidance.
  • Assists in implementing cost-monitoring practices for cloud workloads.
  • Communicates operational status and risks to stakeholders.
  • Prioritizes workload to meet team service-level objectives.

Level – Sr. (in additional to Level 2 &3)

  • Ensures end-to-end reliability of data platforms, including cloud (Azure Databricks, ADLS) and on-premises systems (Oracle, Informatica, SAS, Cognos).
  • Leads incident response and root-cause analysis for critical data operations issues, driving permanent fixes.
  • Architects monitoring and observability frameworks for data pipelines, BI refreshes, and platform health, leveraging golden signals and automated checks.
  • Designs and implements automation and infrastructure-as-code solutions to streamline operational workflows and environment provisioning.
  • Governs data migrations, releases, and upgrades, ensuring integrity, rollback strategies, and compliance with change management standards.
  • Optimizes data pipelines, queries, and storage strategies for performance, scalability, and cost efficiency across hybrid environments.
  • Develops and validates disaster recovery and business continuity plans for data platforms, meeting SLA objectives.
  • Drives FinOps practices and capacity planning for data workloads, enforcing cost guardrails and resource optimization.
  • Implements security and compliance controls for data operations, ensuring audit readiness and adherence to regulatory requirements.
  • Serves as Subject Matter Expert (SME) for data reliability and operational excellence.
  • Mentors analysts and curates knowledge assets, fostering best practices in governance and reliability.
  • Conveys team strategy and operational goals through strong written and verbal communication.

QUALIFICATIONS

Education

  • Bachelor’s degree in computer science, Information Systems, or related field OR equivalent combination.

Required Experience

Level II

  • 2+ years of experience in data/platform operations or technical support.

Level III

  • 4+ years of experience in enterprise data/platform operations.
  • Proven experience with hybrid cloud/on-prem data ecosystems.

Level Senior

  • 5+ years of experience in data/platform operations or site reliability with enterprise scope.
  • Proven track record leading complex operational initiatives and incident responses.
  • Extensive experience with enterprise-scale cloud and on-premises data platforms.

Preferred Experience

Level II

  • Working knowledge of Azure, SQL, and enterprise data tools.

Level III

  • Experience with automation and observability tools.

Level Senior

  • Experience designing and implementing observability, automation, and reliability solutions.
  • Background in ITIL process implementation and operational governance.

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.

Expected Salary Range:

$90,220 - $153,380

Top Skills

Adls
Azure Databricks
Cognos
Informatica
Oracle
Power BI
SAS
SQL

Similar Jobs

8 Days Ago
In-Office
104K-150K Annually
Senior level
104K-150K Annually
Senior level
Automotive
The Senior Data Analyst will develop data tools for operational efficiency, collaborate across teams, and implement metrics to improve decision-making and performance.
Top Skills: AWSDbtLookerPostgresPythonSQLTableau
13 Days Ago
Easy Apply
Hybrid
Austin, TX, USA
Easy Apply
Senior level
Senior level
Fintech • Information Technology • Payments • Productivity • Software • Travel • Automation
The Senior Revenue Operations Analyst will enhance GTM data quality, integrate 3rd party data into CRM, and solve data issues collaboratively with various teams.
Top Skills: BigQueryJIRASalesforceServicenowSnowflakeSQL
7 Minutes Ago
Remote or Hybrid
United States
59K-75K Annually
Junior
59K-75K Annually
Junior
Healthtech • Information Technology • Security • Software • Cybersecurity
The Drug Diversion Analyst ensures compliance with controlled substance regulations, analyzes data, provides customer support, and conducts audits to prevent misuse.
Top Skills: WindowsOffice365Salesforce

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account