Subsurface Well Data Integration Lead (OSDU/Cloud)

OXY, Inc.

Houston (TX)

On-site

USD 120,000 - 170,000

Full time

14 days+

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Job summary

Oxy, Inc. in Houston seeks a Subsurface Data Integration Specialist to join the Technical Systems & Data team.

You will own the master data management workflow for subsurface well data, coordinating with Data Advisors, SOR owners and vendors to ensure data integrity across Landmark R5000, OpenWorks and Petrel Studio. You will implement data quality standards, design cloud-aligned data architectures (OSDU/AWS), and help modernize the data platform while preserving lineage, context, and data

Qualifications

  • Bachelor of Science in Geoscience, Engineering, Computer Science, or related field, or equivalent experience.
  • 10+ years of experience managing oil & gas geoscience, drilling, and engineering technical data.
  • 10+ years of experience loading and managing well data in Landmark R5000, Petrel Studio, or similar subsurface software.

Responsibilities

  • Translate business and subsurface domain requirements into scalable, secure data architectures.
  • Drive adoption of OSDU data structures across data domains (exploration, drilling, production, reservoir).
  • Lead integration of subsurface systems with OSDU-compliant platforms.
  • Design data platforms with cloud providers (AWS) and ensure data quality and governance.

Skills

Data management
ETL / DQM
Leadership
Analytical thinking
Communication
Problem solving

Education

Bachelor of Science (Geoscience/Engineering/CS)
10+ years oil & gas data experience

Tools

Landmark R5000
Petrel Studio
OpenWorks
Schlumberger InnerLogix

Job description

Oxy, Inc. in Houston seeks a Subsurface Data Integration Specialist to join the Technical Systems & Data team.

You will own the master data management workflow for subsurface well data, coordinating with Data Advisors, SOR owners and vendors to ensure data integrity across Landmark R5000, OpenWorks and Petrel Studio. You will implement data quality standards, design cloud-aligned data architectures (OSDU/AWS), and help modernize the data platform while preserving lineage, context, and data

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