Cloud Data Platform Administrator

The Cloud Data Platform Administrator is responsible for the administration, governance, and ongoing optimization of the company’s cloud-based data and analytics platforms, with a primary focus on Microsoft Fabric and Power BI Service (Online).

This role supports enterprise reporting, self-service analytics, and emerging Copilot and AI use cases by managing cloud data and analytics platforms, building data pipelines, and delivering trusted datasets across the organization.

· Administer and govern Microsoft Fabric and Power BI Service (Online) as the company’s enterprise cloud analytics platform supporting reporting, self-service analytics, and AI initiatives.

· Define and maintain Fabric platform architecture, including workspace design, One Lake data organization, and Lakehouse/Warehouse configuration

· Administer Power BI Service (Online) including workspace organization, dataset and semantic model management, access controls, and performance optimization.

· Design, build, and support cloud-based data ingestion and transformation (ETL) pipelines using modern data platform tools.

· Ensure datasets are curated and structured to support downstream reporting, advanced analytics, and Copilot-enabled AI scenarios.

· Monitor and manage capacity utilization and performance across Fabric and Power BI work spaces to ensure stability and reliability within the environment

· Establish and promote standards and best practices for self-service reporting and analytics initiatives.

· Partner with business stakeholders to support operational, financial, and analytical reporting needs, providing guidance and best practices for effective Power BI development and usage.

· Collaborate with IT leadership, analytics teams, and developers to evolve the cloud data platform and deliver data-driven solutions using the Microsoft cloud ecosystem.

· Hands-on experience administering enterprise cloud data analytics platforms, with a strong preference for Microsoft Fabric. Experience with comparable platforms such as Snowflake, Databricks, Azure Synapse Analytics, or Hadoop‑based data warehousing platforms is acceptable.

· Experience administering enterprise-scale Power BI Service (Online) environments, including semantic model design, dataset management, refresh architecture, workspace organization, and support for governed self-service analytics and reporting.

· Experience designing and developing Power BI reports and dashboards

· Strong understanding of cloud data warehousing and Lakehouse architecture, including data modeling concepts that support downstream reporting and analytics.

· Experience designing and building cloud-based data ingestion and transformation (ETL) pipelines using modern data platform tools.

· Strong SQL skills, with the ability to write, optimize, and troubleshoot queries.

· Strong problem-solving and troubleshooting skills, with the ability to diagnose and resolve complex issues across cloud data platforms, data pipelines, and enterprise analytics environments.

· Effective communication skills, with the ability to collaborate with both technical teams and business stakeholders.

· Exposure to Microsoft Copilot-enabled or AI-driven analytics scenarios using structured enterprise data.

· Experience working with cloud data platforms or analytics solutions within the oil and gas industry.

· Bachelor’s degree in computer science, data science, computer engineering, information systems, or a related technical field.

· 5+ years of experience designing, building, and supporting enterprise cloud-based data and analytics platforms used for reporting, analytics, and data-driven decision making.