Data Architect - Oil & Gas

Role Overview :

The Data Architect (Oil & Gas) will lead end to end data architecture strategy, solution design, and implementation for global Oil & Gas clients (upstream, midstream, or downstream). The candidate will drive data modernization, enterprise data platforms, and advanced analytics adoption as part of large-scale digital transformation engagements.

Key Responsibilities :

Data Architecture & Strategy :

- Define enterprise grade data architecture blueprints, reference models, and design patterns for Oil & Gas clients.

- Architect data platforms leveraging cloud ecosystems (Azure, AWS, GCP) with strong focus on scalability, security, data quality, and governance.

- Design logical and physical data models, data flows, and integration architectures aligned to Oil & Gas business processes.

- Establish architectural standards for master data, metadata, lineage, ontologies, and taxonomy frameworks.

- Incorporate emerging technologies such as AI/ML, knowledge graphs, IoT/SCADA data pipelines, predictive analytics, and industry frameworks like OSDU.

Solution Delivery & Technical Leadership :

- Lead cross functional delivery teams across data engineering, analytics, integration, and platform modernization.

- Oversee end to end data platform implementations, ensuring architectural integrity, performance, and reliability.

- Conduct technical design reviews, provide hands on guidance, and ensure adherence to best practices and enterprise architecture guardrails.

- Partner with cloud, application, and domain teams to ensure seamless integration across enterprise systems.

- Drive high quality deliverables by ensuring robust testing, validation, and deployment practices.

Oil & Gas Domain Enablement :

- Apply data architecture principles to Oil & Gas business domains including :

1. Production operations

2. Asset management

3. Drilling and subsurface data

4. Pipeline operations

- Refining and petrochemicals : Architect data ingestion and harmonization of time-series, geospatial, subsurface, and IoT data.

- Advise clients on adopting Oil & Gas industry data standards, with a strong understanding of OSDU Data Platform and domain data models.

Stakeholder & Client Management :

- Act as a senior advisor to client architecture leaders, supporting C level stakeholders with data-driven strategies.

- Communicate architectural concepts to technical and non-technical stakeholders with clarity.

- Manage vendor engagements and technology partners to ensure alignment to standards and client objectives.

- Contribute to proposals, pursuit teams, and thought leadership for Oil & Gas data transformation initiatives.

Required Qualifications :

- 7+ years of overall experience in data architecture, data engineering, and enterprise data management.

- 3+ years of hands on experience in Oil & Gas industry projects (upstream, midstream or downstream).

- Proven experience designing and delivering large-scale cloud data platforms (Azure/AWS/GCP).

Strong expertise in :

- Data modeling (conceptual, logical, physical)

- Data integration & ETL/ELT pipelines

- Data governance and quality frameworks

- Time-series, IoT, and real time data platforms

- Experience with OSDU, SCADA/IoT data, geospatial datasets, and subsurface data structures preferred.

- Strong leadership, stakeholder management, and client facing communication skills.

- Experience leading distributed global teams and working in multi vendor environments.

Preferred Skills :

- Strong Experience with Oil & Gas analytics platforms, digital oilfield solutions, and asset performance systems.

- Certification in Cloud platforms (Azure, AWS, or GCP).

- Experience with AI/ML use cases applied to O&G operations and asset management.

- Understanding of DevOps/DataOps, containerization, and microservices architecture.

Skills

Data Architect, Data Modeling, Data Engineering, SCADA, Data Pipeline, Data Quality, Data Governance, Data Management, Predictive Analytics