Data Platform Lead 90150

Serve as the hands-on technical lead for data analytics and BI delivery - architecting and building the data models, pipelines, and reporting that power business decisions and setting the technical standard for data delivery across the organization. This is a hands-on senior engineering role for a professional who builds production-grade analytics on modern cloud and AI-enabled platforms, leads the transition from legacy SQL Data Warehousing to Microsoft Fabric and related Azure data services, and guides outsourced and external resources delivering the broader analytics portfolio. The role works closely with Finance, Supply Chain, HR, and Operations stakeholders as well as ISIT teams and MSP vendor partners to ensure high-quality, governed, and scalable data solutions.

• Take ownership of Seadrill's BI data platforms and reporting, including the build-out and enablement of self-service reporting capability for the business.

• Design and build data models, ETL/ELT pipelines, and Power BI and Oracle Fusion Data Intelligence reports and dashboards for Finance, Supply Chain, HR, and Operations; lead the migration from legacy SQL Data Warehouse to Microsoft Fabric (Lakehouse, Data Factory, OneLake).

• Serve as the technical authority on data architecture, data quality, and platform performance, leveraging Microsoft Purview for data governance, cataloguing, and lineage across all data assets.

• Translate business questions into analytical solutions; gather, validate, and document requirements in collaboration with business leaders.

• Set and enforce development, testing, and governance standards (including Agile/DevOps practices); guide outsourced MSP vendor resources and external delivery partners on technical execution and quality.

• Develop and maintain data integrations from Oracle Fusion (ERP financials, EPM, SCM, HCM), Maximo, and other enterprise source systems into the data platform using SSIS, Azure Data Factory, and Microsoft Fabric pipelines.

• Ensure the accuracy, security, and trustworthiness of production reporting; evaluate and implement AI/ML and Microsoft Foundry AI framework capabilities to enhance analytics and automate insights., Certifications in Power BI (PL-300), Microsoft Fabric Analytics Engineer (DP-600), Oracle Fusion Data Intelligence, Azure Data Engineer (DP-203), or related Microsoft/Oracle data certifications.

SAFETY AT SEADRILL Our goal is to ensure that 'nobody gets hurt' whilst performing their job. Everyone at Seadrill has a part to play in meeting our safety commitment.

Through strong leadership and personal responsibility from all employees, we take a systematic approach to identifying, managing and preventing the hazards involved in our day to day operations.

Nothing is more important to us than the health, safety and security of our workforce and the communities in which we operate and behaving responsibly towards our shared environment.

We are vigilant, disciplined and always looking out for one another. We have developed and embedded a strong safety culture onshore and offshore, fostered by all employees, who each have a personal responsibility and the authority to put an immediate stop to the job if they believe it to be unsafe.

Everyone at Seadrill is accountable for helping to build this culture of care. This includes:

• Compliance with the Seadrill Code of Conduct and Fight Against Corruption.
• Compliance with applicable internal and external governing requirements.
• Non-compliances are promptly acted on and reported to the direct supervisor.
• The standard for tidiness and cleanness is adhered to.
• Good and clear communications with all involved parties.

SEADRILL BEHAVIORAL FRAMEWORK In Seadrill, setting the standard is not just about what we deliver, but how we deliver it. We co-created our Behavioral Framework with our employees, where we identified four key competencies that define our culture and help us to live our values. Our behaviors are embedded in the way we work and support and guide us day to day:

• Drive & Ownership
• Change & Forward Thinking
• Communication & Collaboration
• Service Delivery

DIVERSITY This position is also for people with disabilities.

We recognize that our people are key to helping us to achieve our vision, so we have fostered a culture that encourages, supports and celebrates diversity of all kinds. It fuels our innovation and connects us closer to our customers and the communities we operate in.

• 7+ years of hands-on experience in data analytics, BI engineering, or data platform development.
• Deep, hands-on expertise in Microsoft Power BI (including DAX, data modeling, and row-level security), Oracle Fusion Data Intelligence, and advanced SQL.
• Strong data modeling skills (star/snowflake schema, Kimball methodology, tabular/SSAS models) and ETL/ELT pipeline development using SSIS, SSRS/SSAS, and Azure Data Factory or Microsoft Fabric Data Factory.
• Proven track record delivering production-grade, enterprise-scale reporting and analytics solutions.
• Experience with relational databases (SQL Server, Oracle); solid understanding of SQL DWH concepts and migration pathways to cloud-native lakehouse architectures.
• Strong communication, documentation, and requirements-gathering skills; ability to work cross-functionally with business IS managers, outsourced partners, and executive stakeholders.
• Proficiency in Agile/DevOps delivery practices and version control (Git); excellent analytical and report writing skills.Hands-on experience with Microsoft Fabric (Lakehouse, OneLake, Data Factory, Semantic Models), Microsoft Purview (data governance and cataloguing), and Azure cognitive/AI services.

Desired

• Experience with Microsoft Foundry AI framework or similar AI/ML orchestration platforms; knowledge of Azure Machine Learning and statistical analysis/data science techniques.
• Oil & gas domain knowledge, particularly Finance, Supply Chain, HR, and offshore Operations data.
• Experience guiding MSP vendor or outsourced delivery resources on technical standards and quality assurance.
• Advanced proficiency in MS Excel; familiarity with Oracle or Microsoft certification programmes and Cognos tools.
• Understanding of business functions including Finance, HR, and Supply Chain data processes.

Minimum Requirements Bachelor's degree in Data, Computer Science, or related field.

We value our people and want to retain them. So, we offer a competitive package built around an attractive base salary and a range of benefits tailored to your location.