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Data Ops Lead

Job in Houston, Harris County, Texas, 77246, USA
Listing for: Patterson-UTI
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing, SRE/Site Reliability
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Overview

We are seeking a Data Ops Lead to own and advance the operational reliability, quality, and scalability of our cloud-based data platforms
. This role sits at the intersection of data engineering, platform operations, and reliability
, supporting critical data pipelines that power analytics, reporting, and operational decision-making across oilfield and energy operations. The Data Ops Lead will be responsible for ensuring that data is available, accurate, timely, and trustworthy
, while leading operational best practices across ingestion, processing, and delivery systems running primarily on Google Cloud Platform (GCP).

This is a hands-on technical leadership role with strong expectations for ownership, cross-team collaboration, and continuous improvement.

Detailed Description
  • Data Platform Operations
    • Own the day-to-day operational health of cloud-based data pipelines and platforms
    • Ensure high data availability, freshness, accuracy, and completeness
    • Lead operational support for batch and streaming data workloads
  • Data Reliability & Quality
    • Define and manage data SLAs, SLOs, and reliability metrics
    • Implement and maintain data quality checks, validations, and monitoring
    • Design processes for backfills, reprocessing, and failure recovery
  • Cloud & Infrastructure
    • Operate and optimize GCP-based data services, including Big Query, Cloud Storage, Pub/Sub, and GKE
    • Partner with platform and SRE teams on scalability, performance, and cost optimization
    • Manage data infrastructure using Infrastructure as Code (Terraform)
  • Automation & Tooling
    • Build and maintain Python-based automation for data operations and monitoring
    • Improve reliability and repeatability through standardized tooling and workflows
    • Support and enhance data orchestration platforms (e.g., Airflow / Cloud Composer)
  • Incident Response & Operational Excellence
    • Lead response to data incidents, including triage, mitigation, and root cause analysis
    • Drive post-incident reviews and track corrective actions
    • Create and maintain runbooks, operational documentation, and playbooks
  • CI/CD & Governance
    • Implement CI/CD best practices for data pipelines
    • Promote testing, version control, and deployment standards across data workflows
    • Ensure data platforms align with security, governance, and access control requirements
  • Leadership & Collaboration
    • Act as a technical leader within the Data Ops function
    • Partner closely with:
      • Data engineering teams
      • SRE / platform engineering
      • Analytics and business stakeholders
    • Mentor engineers and help raise the operational maturity of the data organization
Required Knowledge, Skills, And Abilities
  • 7+ years experience in Data Engineering, Data Ops, or Data Platform Operations
  • 3+ years experience operating cloud-based data platforms in production
  • Strong hands-on experience with Google Cloud Platform, including:
  • GCP: GKE, Compute Engine, Cloud Storage, Pub/Sub (or equivalents)
  • Cloud Monitoring & Logging
  • Big Query
  • Dataflow
  • Datastream
  • IAM and networking
  • Composer/Airflow
  • Kubernetes: deployment, scaling, reliability patterns
  • Observability: GCP Cloud Monitoring, Logging
  • Strong proficiency in Python for data pipelines, automation, and operational tooling
  • Experience with data orchestration frameworks (Airflow preferred)
  • Experience with Infrastructure as Code (Terraform)
  • Experience with Azure Devops
  • Proven experience leading data incident response and operational improvements
  • Strong SQL skills for data analysis and troubleshooting
Minimum Qualifications
  • Bachelor’s degree in Business, Information Technology, Computer Science, or a related field.
  • 7+ years experience in Data Engineering, Data Ops, or Data Platform Operations
  • 3+ years leading or owning production data platforms in a cloud environment
  • Demonstrated technical leadership of data operations initiatives or teams
  • Ability to understand and speak English at a level of proficiency allowing employee to issue, receive and respond to both safety and operations-related directions in English
Preferred Qualifications
  • Oil and Gas Industry knowledge
  • Technology/Digital Industry knowledge
About Us

The Evolving Oil Field Demands Evolving Service Providers

Nex Tier is a leading provider of integrated completions that employs sustainable practices and equipment to support our customers’ ESG goals while accelerating production in the most demanding US land basins.

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