IT Subsurface Data Integration Specialist

Core Responsibilities

• Translate business and subsurface domain requirements into scalable, secure, and cloud-optimized data and integration architectures
• Drive the adoption of OSDU data structures across exploration, drilling, production, and reservoir engineering data domains
• Led the integration of existing Petrotechnical and subsurface systems (e.g., Petrel, OpenWorks, Studio) with OSDU-compliant platforms
• Data Integration: Integrate and enhance well data types into OpenWorks R5000 and Petrel Studio repositories using data management tools such as Schlumberger's InnerLogix Suite, with hands-on experience integrating source SOR data and attributes (EDM/OpenWells, RECALL) into the master data management framework
• Design solutions using major cloud providers (e.g., AWS) with a preference for OSDU-supported clouds
• Establish and enforce best practices for data modeling, metadata tagging, identity and access management (IAM), and API security
• Data Quality Monitoring & Governance: Monitor, support, and maintain the established Well Data Management Framework for acceptable levels of data quality; report areas of non-compliance to System of Record (SOR) owners and Data Management leadership
• Exception & Correction Processing: Work established WMDM processes and exception/correction reports on a scheduled basis using Data Quality Standards, and propose enhancements to processes and business rules to improve overall well data quality
• Stakeholder Coordination: Work with stakeholders and Data Advisors per DQM (exceptions/corrections) reports to ensure data is corrected at the SOR level, then monitor InnerLogix transfers from master databases into OpenWorks and Petrel Studio to confirm accuracy in project databases
• Complex Issue Troubleshooting: Research well history and resolve complex data issues for domestic and international wells within working Geoscience projects (OpenWorks and Petrel Studio), coordinating with extended Data Management teams for SOR-level fixes that implement well data governance
• Petrophysical Data Validation: Monitor and validate petrophysical interpretations loaded to working projects via automation, for both domestic and international assets
• Trade & Operated-by-Others (OBO) Data: Identify and manage data for trade wells and OBO wells, making it available to Geoscience teams in working projects to reduce third-party data purchases
• Project Administration: Support OpenWorks project administration and automation troubleshooting across Permian, Rockies, GOM, International Exploration, International Assets, and Low Carbon Venture; lead legacy data cleanup efforts (e.g., Permian) to remove redundant datasets and resolve well data issues
• Drilling & Completions Integration: Liaise with the Data Management team to ensure critical and master drilling and completions data is correctly integrated with master and project databases
• Well Data Lifecycle Support: Load, validate, and integrate WMDM data to project databases on a scheduled and on-demand basis; participate in well master data management-related projects
• OSDU / Cloud Alignment: Support integration of existing subsurface systems (Petrel, OpenWorks, Studio) with OSDU-compliant, AWS cloud-based platforms as part of the organization's broader data modernization roadmap
• Platform Modernization: Support the organization's transition from legacy InnerLogix data structures to, a microservice based platform, helping preserve relationship context, lineage, and data quality through migration; assist with reconciling and validating well data as it moves into the new platform's set-based processing and search (Lucene) environment
• Industry Awareness: Keep abreast of industry trends in surface and subsurface well master data management, and provide ongoing guidance and support across the organization

Qualifications

• Bachelor of Science degree in Geoscience, Engineering, Computer Science, or a related field, or equivalent experience
• 10+ years of experience managing oil and gas geoscience, drilling, and engineering technical data preferred
• 10+ years of experience loading and managing well data in Landmark R5000, Petrel Studio, or similar subsurface software
• Advanced knowledge of well data generated during planning, drilling, logging, and completion operations
• Subject Matter Expert in loading and validating well data, including surface locations, elevation and elevation reference, and subsurface data such as deviation surveys, north/grid reference, tops, and log curves
• Excellent understanding of master data management (MDM) concepts for technical data
• Experience defining ETL / DQM business rules for data management toolkits such as InnerLogix
• Experience implementing and maintaining well master data management programs
• Excellent knowledge of geodetics and units of measure used with well surface and subsurface data
• Expertise with Landmark R5000, EDM, Recall, and Petrel/Studio highly desirable; working knowledge of the R5000 data model is a plus
• Expertise with Schlumberger's InnerLogix Suite of applications required; familiarity with InnerLogix or similar industry-standard Data Quality Management toolkits
• Exposure to cloud platforms (AWS preferred) and familiarity with OSDU Data Platform standards is a plus, as the team modernizes toward cloud-native subsurface data integration
• Familiarity with graph-based data platforms and microservice architectures (e.g., Neo4j, Lucene search) is a plus, as the organization transitions from legacy integration to modern platforms
• Understanding of Six Sigma data quality methodologies as applied to technical data validation and assurance is a plus
• Leadership and organizational skills
• Ability to lead projects and meet deliverables within time, budget, and resource constraints
• Open-minded, with the ability to identify new methodologies and technologies for managing technical data
• Excellent team player who can also work independently under minimal supervision
• Ability to effectively manage vendors and build win-win relationships
• Excellent written and verbal communication skills, able to convey complex technical concepts to both technical and non-technical audiences