Data Architect

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:


• Production operations


• Asset management


• Drilling and subsurface data


• 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.

Optimization & Continuous Improvement:

• Conduct architecture maturity assessments and define modernization roadmaps.


• Identify opportunities for performance optimization, cost reduction, and data lifecycle efficiency.


• Create reusable assets, accelerators, and frameworks to improve project delivery velocity across  Energy Limited teams.

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.