Data Ops Lead NEX
nextier completion solutionsHouston (TX)
Data Ops Lead NEX
Posted 2 days ago
nextier completion solutionsHouston (TX)
SENIORITY
Manager
About the role
Brief Description:
We are seeking a DataOps 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 DataOps 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 OperationsOwn 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 workloadsData Reliability & QualityDefine and manage data SLAs, SLOs, and reliability metrics
Implement and maintain data quality checks, validations, and monitoring
Design processes for backfills, reprocessing, and failure recoveryCloud & InfrastructureOperate and optimize GCP-based data services, including BigQuery, 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 & ToolingBuild 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 ExcellenceLead 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 playbooksCI/CD & GovernanceImplement 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 requirementsLeadership & CollaborationAct as a technical leader within the DataOps function
Partner closely with: Data engineering teams
SRE / platform engineering
Analytics and business stakeholdersMentor engineers and help raise the operational maturity of the data organizationRequired Knowledge, Skills, and Abilities:7+ years experience in Data Engineering, DataOps, 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
BigQuery
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 troubleshootingMinimum Qualifications: Bachelor's degree in Business, Information Technology, Computer Science, or a related field.
7+ years experience in Data Engineering, DataOps, 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 EnglishPreferred Qualifications: Oil and Gas Industry knowledge
Technology/Digital Industry knowledge#NexTierJob
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.