Data Architecture Manager

Req Id: 16602


Job Family: Project Management


Location: Monaco, MC



ROLE PURPOSE
In this strategic role, you will be responsible for designing, developing, implementing and managing complex data architectures ensuring alignment with business goals and scalability for future growth; driving data pipelining and ingestion, data transformation and support related to it change management.



As a strategic thinker with strong technical expertise, you will oversee complex data solutions while leading and mentoring a geographically distributed team of data architects, engineers, and developers. You will lead a diverse team, manage data quality initiatives, and ensure our data architecture is scalable, secure, and cutting-edge. This role involves hands-on technical leadership, team management, and close collaboration with cross-functional internal teams, as well as external partners.



This is an excellent opportunity for a data-driven leader to play a pivotal role in shaping the future of our organization's data architecture and driving innovation in a fast-paced, global environment. If you are passionate about data and have a proven ability to lead complex data initiatives, we encourage you to apply.



RESPONSIBILITIES Data Architecture Design & Development:
Design and implement complex, scalable data architectures that meet business needs. Develop and maintain data models and database designs, focusing on reliability, efficiency, and future growth. Architect and develop integrated data quality applications from the ground up using modern technology stacks such as Spark, Scala, ElasticSearch, AngularJS, Kibana, Kafka, and NiFi. Design and implement scalable and interoperable data architectures across cloud and hybrid environments (AWS, MS Azure, Google Cloud). Strong knowledge and experience with implementation of Microsoft tech stack. Develop and maintain robust data models, database designs, and ETL processes while ensuring data quality and security across all solutions. Lead the design, development, and maintenance of data pipelines, supporting both batch and streaming data architectures. Data Quality & Security: Collaborate with Data Governance, Master Data Management and Cyber Security Teams to establish and enforce best practices for data governance, ensuring high data quality, security, and compliance with relevant regulations. Data Pipeline Management:
Oversee the design, construction, and maintenance of robust data pipelines ensuring efficient data flow for both batch and streaming data processing platforms. Design, implement and deliver data ingestion and transformation to enable easy data consumption by the business and reduce time-to-consume by implementing efficient tech data solutions. Oversee the design and implementation of data development tools using i.e. Python Strategic Reporting: Oversee digitization, simplification and automation of strategic reporting processes throughout SBM Offshore Product Lifecycle Management. Collaboration & Stakeholder Engagement:
Partner with Group IT, the Data Governance, Master Data Management, Portfolio Management Teams, and other business units to define the technology stack for lifecycle data management. Collaborate with the key leads within Information Technology organisation, and various business units to ensure data architecture supports product lifecycle management and reporting automation efforts. Work closely with data governance, master data management, data scientists, data engineers, business analysts, product and data owners, as well as other stakeholders, to ensure data architecture aligns with business objectives and enhances decision-making processes. Team Leadership & Mentorship:
Lead and mentor a global team of data engineers, architects, and developers, fostering a culture of innovation and professional growth. Mentor team members on best practices in software engineering, data quality, product evaluation, and technical design. Provide guidance, and career development opportunities to team members. Conduct performance reviews, track team effectiveness, and collect operational metrics to drive continuous improvement. Data Product Management & Lifecycle Oversight:
Support overseeing end-to-end lifecycle data management from project win, execution, and operation to decommissioning. Execute strategy and own KPIs for assigned data products, working with business and consumer teams to ensure the success of the data product line. Drive automation of strategic reporting and support the data platform creation to meet internal and external client demands. Ensure creation and maintain documentation for data architecture, data lifecycle processes, and data solutions. Ownership of data delivery activities for Digital and Data Projects & Major IT Change Initiatives Innovation & Technical Leadership:
Stay up-to-date with industry trends, data governance standards, and emerging technologies in data architecture, cloud computing, and big data to ensure the data architecture is scalable and cutting-edge. Participate in technical and data reviews, and participate in defining technical solutions and architecture improvements. Provide technical guidance and support advanced data integration, lifecycle data standardization, data migration and data transformation projects. JOB REQUIREMENTS Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 10+ years of experience in data architecture, data engineering, and database design, data modeling, with expertise in both SQL and NoSQL technologies. Proficiency with cloud platforms (AWS, Azure, Google Cloud), big data technologies, and data integration/ETL tools. Familiarity with data quality tools and modern tech stacks (e.g., Spark, Kafka, AngularJS, ElasticSearch). Strong expertise in on-prem and cloud-based data technologies and big data platforms. Leadership experience, with a track record of managing and mentoring technical teams across multiple locations and coming from different cultural backgrounds. Proven track record of driving large-scale data initiatives. Proficient in data governance, data quality management, and data security best practices. Understanding and driving outcomes and value-based data activities. Experience with data lifecycle management, including data standardization, observability, and auditing. Excellent leadership and project management skills. Strong knowledge of data governance, privacy regulations, and compliance (GDPR, CCPA). Experience with data visualization tools like Power BI, Microstrategy, Tableau. Knowledge of machine learning and AI technologies is a plus. Knowledge and understanding of time-series data is a plus. Work experience and understanding of data environment in Maritime, Shipping and/or Oil and Gas industry (project or permanent positions) is a plus. Fluency in English is a must. Ability to handle multiple priorities. Strong ability to distinguish between operational, tactical and strategic objectives in order to stay on course with our mission and North Star. Desirable Certifications:


MS Azure, DevOps, AWS, PMP, PMI, ITIL, or data architecture-related certifications are highly desirable. GENERAL INFORMATION
SBM Offshore N.V. is a listed holding company that is headquartered in Amsterdam. It holds direct and indirect interests in other companies that collectively with SBM Offshore N.V. form the SBM Offshore Group ("the Company"). For further information, please visit our website at www.sbmoffshore.com. The companies in which SBM Offshore N.V., directly and indirectly, owns investments are separate entities.




SBM Offshore is proud to be an Equal Employment Opportunity and Affirmative Action employer. SBM Offshore does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.




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