{"id":1818655,"url":"https://alion.io/job/patenergy-data-ops-lead-nex","title":"Data Ops Lead NEX","company":{"id":2504637,"name":"Patterson-UTI","domain":"patenergy.com","url":"https://alion.io/company/patenergy","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":90,"open_postings":37,"ghost_share":0,"stale_share":0.216,"repost_share":0,"time_to_fill_p50_days":64,"computed_at":"2026-11-05T05:54:30Z"}},"role":"Operations","role_family":"Operations","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Houston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":82000,"max_usd":191000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1314},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google GKE","optional":false},{"name":"IAM","optional":false},{"name":"Kubernetes","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Azure","optional":true}],"status":"live","first_seen_at":"2026-08-19T18:57:10Z","employer_posted_date":"2026-08-19","last_verified_at":"2026-11-06T00:25:54Z","board_verified":true,"closed_at":null,"days_open":78,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":78},"description":"Brief Description:\nWe 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.\nThe 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).\nThis is a hands-on technical leadership role with strong expectations for ownership, cross-team collaboration, and continuous improvement.\nDetailed Description:\nData Platform Operations\nOwn the day-to-day operational health of cloud-based data pipelines and platforms\n\nEnsure high data availability, freshness, accuracy, and completeness\n\nLead operational support for batch and streaming data workloads\n\nData Reliability & Quality\nDefine and manage data SLAs, SLOs, and reliability metrics\n\nImplement and maintain data quality checks, validations, and monitoring\n\nDesign processes for backfills, reprocessing, and failure recovery\n\nCloud & Infrastructure\nOperate and optimize GCP-based data services, including BigQuery, Cloud Storage, Pub/Sub, and GKE\n\nPartner with platform and SRE teams on scalability, performance, and cost optimization\n\nManage data infrastructure using Infrastructure as Code (Terraform)\n\nAutomation & Tooling\nBuild and maintain Python-based automation for data operations and monitoring\n\nImprove reliability and repeatability through standardized tooling and workflows\n\nSupport and enhance data orchestration platforms (e.g., Airflow / Cloud Composer)\n\nIncident Response & Operational Excellence\nLead response to data incidents, including triage, mitigation, and root cause analysis\n\nDrive post-incident reviews and track corrective actions\n\nCreate and maintain runbooks, operational documentation, and playbooks\n\nCI/CD & Governance\nImplement CI/CD best practices for data pipelines\n\nPromote testing, version control, and deployment standards across data workflows\n\nEnsure data platforms align with security, governance, and access control requirements\n\nLeadership & Collaboration\nAct as a technical leader within the DataOps function\n\nPartner closely with:\nData engineering teams\n\nSRE / platform engineering\n\nAnalytics and business stakeholders\n\nMentor engineers and help raise the operational maturity of the data organization\n\nRequired Knowledge, Skills, and Abilities:\n7+ years experience in Data Engineering, DataOps, or Data Platform Operations\n\n3+ years experience operating cloud-based data platforms in production\n\nStrong hands-on experience with Google Cloud Platform, including:\n\nGCP: GKE, Compute Engine, Cloud Storage, Pub/Sub (or equivalents)\n\nCloud Monitoring & Logging\n\nBigQuery\n\nDataflow\n\nDatastream\n\nIAM and networking\n\nComposer/AIrflow\n\nKubernetes: deployment, scaling, reliability patterns\n\nObservability: GCP Cloud Monitoring, Logging\n\nStrong proficiency in Python for data pipelines, automation, and operational tooling\n\nExperience with data orchestration frameworks (Airflow preferred)\n\nExperience with Infrastructure as Code (Terraform)\n\nExperience with Azure Devops\n\nProven experience leading data incident response and operational improvements\n\nStrong SQL skills for data analysis and troubleshooting\n\nMinimum Qualifications:\nBachelor’sdegree in Business, Information Technology, Computer Science, or a related field.\n\n7+ years experience in Data Engineering, DataOps, or Data Platform Operations\n\n3+ years leading or owning production data platforms in a cloud environment\n\nDemonstrated technical leadership of data operations initiatives or teams\n\nAbility 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\n\nPreferred Qualifications:\nOil and Gas Industry knowledge\n\nTechnology/Digital Industry knowledge","description_format":"text","description_chars":4110,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":3,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Petroleum & Mining Engineering","Oil & Gas"],"lifecycle":[{"event":"open","at":"2026-10-04T03:53:26Z"}],"visa":[],"liveness":{"score":33,"band":"fade","label":"Fading","p_open":1,"p_active":0.747,"p_room":0.44,"age_days":77,"expected_fill_days":64,"reasons":["conf:4","velocity","win:tail","crowd:brand"],"computed_at":"2026-11-05T05:54:30Z"},"pay":null,"html_url":"https://alion.io/job/patenergy-data-ops-lead-nex","json_url":"https://alion.io/job/patenergy-data-ops-lead-nex.json","meta":{"generated_at":"2026-11-06T00:27:24Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":799,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-07T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":2504637},"rest":"https://alion.io/mcp/rest/get_company?id=2504637"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpatenergy-data-ops-lead-nex"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fpatenergy-data-ops-lead-nex"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fpatenergy-data-ops-lead-nex"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/patenergy-data-ops-lead-nex\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpatenergy-data-ops-lead-nex"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":1818655}},{"tool":"search_jobs","arguments":{"company":"patenergy.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":1818655},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}