Data Ops Lead

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 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 DataOps 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, 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 troubleshooting

Minimum 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 English

Preferred Qualifications

• Oil and Gas Industry knowledge
• Technology/Digital Industry knowledge