Data Architect

SBM Offshore created an Operations Data Architect Team under the Operations Solutions Management department to govern the data from entry to its destruction. The goal is to embrace more digitally automated functions across the entire asset lifecycle. The team is responsible to manage the process related data structuration, enrichment, consolidation, contextualization, and quality through the full operations lifecycle. The team also coordinate with business specialists to guarantee the data modeling is fit for purpose and aligned with the Smart Services ITS Data Strategy.

Among digital applications, the suite of tools has been put in place in order to leverage on the data intelligence for reporting, analysis and prediction purpose:

IFS as ERP solution covering HSSE, Finance, CMMS areas

Aveva PI suite for timeseries historian and structuration

Fieldbox (vendor) for display front end and manual entry, analytics and predictive algorithms

MS Power BI for reporting

Microsoft Azure technologies

Seeq

Data Architect with expertise in Aveva PI and PI Asset Framework. The Data Architect will be responsible for designing and maintaining data architectures, structures, timeseries analytics, creating data models, implementing data governance policies, and ensuring the efficient storage and retrieval of data.

RESPONSIBILITIES

Develop and maintain data architecture and data models for all Digital Solutions within the Operations Portfolio such as: Aveva PI and PI Asset Framework, Seeq, Cognite

Collaborate with Business stakeholders to understand their data needs and requirements, and design appropriate solutions.

Design, implement, and maintain data governance policies and procedures to ensure data quality, security, and compliance.

Develop, test and deploy and maintain simple and complex analyses

Work with the development team to ensure efficient data storage and retrieval and optimize system performance.

Create data mapping and integration strategies to ensure seamless data flow across multiple systems.

Conduct data analysis and provide insights to support decision-making and business strategy.

Stay up-to-date with the latest industry trends, technologies, and best practices related to data architecture.

JOB REQUIREMENTS

Education: Bachelors degree in Engineering, Computer Science, Information Systems, or related field

Experience: 2-5 of experience in Aveva PI, Time series

Specific competencies

• Solid understanding of data modeling, database design, and data governance principles.
• Proficient in SQL, database programming, and data integration technologies.
• Strong analytical and problem-solving skills, with the ability to analyze complex data sets and provide insights.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
• Familiarity with industry standards like CFIHOS.
• Experience with cloud-based data platforms such as AWS, Azure, or Google Cloud is a plus.
• Certification in Aveva PI or PI Asset Framework is highly desirable.
• Experience in Seeq is desirable
• Experience in MS Azure IOT framework would be a differentiator