Data Ops Lead NEX
nextier completion solutionsHouston, TX
Data Ops Lead NEX
nextier completion solutionsHouston, TXManager L7
Data Warehousing SpecialistsComputer and Information Systems ManagersComputer Systems Engineers/Architects
Computer Systems Design ServicesComputing Infrastructure Providers, Data Processing, Web Hosting, and Related ServicesSoftware Publishers
APPLY NOW (opens in a new tab)Brief Description:
We are seeking aDataOps Leadto own and advance theoperational reliability, quality, and scalabilityof ourcloud-based data platforms. This role sits at the intersection ofdata 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 isavailable, accurate, timely, and trustworthy, while leading operational best practices across ingestion, processing, and delivery systems running primarily onGoogle Cloud Platform (GCP) .This is ahands-on technical leadership rolewith 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 BigQuery, Cloud Storage, Pub/Sub, and GKEPartner 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 playbooksCI/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 atechnical leaderwithin the DataOps function
- Partner closely with:
- Data engineering teamsSRE / 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 inData Engineering, DataOps, or Data Platform Operations 3+ years experience operatingcloud-based data platformsin production
- Strong hands-on experience with
- Google Cloud Platform, including:
GCP: GKE, Compute Engine, Cloud Storage, Pub/Sub (or equivalents)
Cloud Monitoring & Logging BigQueryDataflowDatastreamIAM and networking Composer/AIrflowKubernetes: 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 DevopsProven 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 inData Engineering, DataOps, or Data Platform Operations 3+ years leading or owningproduction data platformsin a cloud environment Demonstratedtechnical leadershipof 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#NexTierJob
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Level
Manager L7
Location
Houston, TX
Occupation
Data Warehousing Specialists
Industry
Computer Systems Design Services
Posted
today