Data Architect Manager
BH-289006
Posted: 05/12/2024
- Good
- France Monaco
- Permanent
-
Oil & Gas
Data Architect Manager – Permanent – Monaco
Hybrid 3 days on site 2 days remote
Must be fluent in English
No sponosrship available
Data Architecture Manager requirements: - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 10+ years of experience in data architecture, data engineering, & database design, data modeling, with expertise in both SQL & NoSQL technologies. Proficiency with cloud platforms (AWS, Azure, Google Cloud), big data technologies, & data integration/ETL tools. Familiarity with data quality tools & modern tech stacks (e.g., Spark, Kafka, AngularJS, ElasticSearch). Strong expertise in on-prem & cloud-based data technologies & big data platforms. Leadership experience, with a track record of managing & mentoring technical teams across multiple locations & coming from different cultural backgrounds. Proven track record of driving large-scale data initiatives. Proficient in data governance, data quality management, & data security best practices. Understanding & driving outcomes & value-based data activities. Experience with data lifecycle management, incl. data standardization, observability, & auditing. Strong knowledge of data governance, privacy regulations, & compliance (GDPR, CCPA). Experience with data visualization tools like Power BI, MicroStrategy, Tableau. Knowledge of machine learning & AI technologies is a plus.
Data Architect Manager responsibilities
Data Architecture Design & Development: Design & implement complex, scalable data architectures that meet business needs. Develop & maintain data models & database designs, focusing on reliability, efficiency, & future growth. Architect & develop integrated data quality applications from the ground up using modern technology stacks such as Spark, Scala, ElasticSearch, AngularJS, Kibana, Kafka, & NiFi. Design & implement scalable & interoperable data architectures across cloud & hybrid environments (AWS, MS Azure, Google Cloud). Strong knowledge & experience with implementation of Microsoft tech stack. Develop & maintain robust data models, database designs, & ETL processes while ensuring data quality & security across all solutions. Lead the design, development, & maintenance of data pipelines, supporting both batch & streaming data architectures. Data Quality & Security: Collaborate with Data Governance, Master Data Management & Cyber Security Teams to establish & enforce best practices for data governance, ensuring high data quality, security, & compliance with relevant regulations.
Data Pipeline Management: - Oversee the design, construction, & maintenance of robust data pipelines ensuring efficient data flow for both batch & streaming data processing platforms. Design, implement & deliver data ingestion & transformation to enable easy data consumption by the business & reduce time-to-consume by implementing efficient tech data solutions. Oversee the design & implementation of data development tools using i.e. Python. Strategic Reporting: Oversee digitization, simplification & automation of strategic reporting processes throughout my client’s Product Lifecycle Management.
Collaboration & Stakeholder Engagement: - Partner with Group IT, the Data Governance, Master Data Management, Portfolio Management Teams, & other business units to define the technology stack for lifecycle data management. Collaborate with the key leads within Information Technology organisation, & various business units to ensure data architecture supports product lifecycle management & reporting automation efforts. Work closely with data governance, master data management, data scientists, data engineers, business analysts, product & data owners, as well as other stakeholders, to ensure data architecture aligns with business objectives & enhances decision-making processes.
Team Leadership & Mentorship: - Lead & mentor a global team of data engineers, architects, & developers, fostering a culture of innovation & professional growth. Mentor team members on best practices in software engineering, data quality, product evaluation, & technical design. Provide guidance, & career development opportunities to team members. Conduct performance reviews, track team effectiveness, & collect operational metrics to drive continuous improvement.
Data Product Management & Lifecycle Oversight: - Support overseeing end-to-end lifecycle data management from project win, execution, & operation to decommissioning. Execute strategy & own KPIs for assigned data products, working with business & consumer teams to ensure the success of the data product line. Drive automation of strategic reporting & support the data platform creation to meet internal & external client demands. Ensure creation & maintain documentation for data architecture, data lifecycle processes, & data solutions. Ownership of data delivery activities for Digital & Data Projects & Major IT Change Initiatives
Desirable Certifications: MS Azure, DevOps, AWS, PMP, PMI, ITIL, or data architecture-related certifications are highly desirable.
With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the Oil & Gas, Power & Renewables, Chemicals, Construction & Infrastructure, Life Sciences, Mining and Manufacturing sectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients.
Hybrid 3 days on site 2 days remote
Must be fluent in English
No sponosrship available
Data Architecture Manager requirements: - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 10+ years of experience in data architecture, data engineering, & database design, data modeling, with expertise in both SQL & NoSQL technologies. Proficiency with cloud platforms (AWS, Azure, Google Cloud), big data technologies, & data integration/ETL tools. Familiarity with data quality tools & modern tech stacks (e.g., Spark, Kafka, AngularJS, ElasticSearch). Strong expertise in on-prem & cloud-based data technologies & big data platforms. Leadership experience, with a track record of managing & mentoring technical teams across multiple locations & coming from different cultural backgrounds. Proven track record of driving large-scale data initiatives. Proficient in data governance, data quality management, & data security best practices. Understanding & driving outcomes & value-based data activities. Experience with data lifecycle management, incl. data standardization, observability, & auditing. Strong knowledge of data governance, privacy regulations, & compliance (GDPR, CCPA). Experience with data visualization tools like Power BI, MicroStrategy, Tableau. Knowledge of machine learning & AI technologies is a plus.
Data Architect Manager responsibilities
Data Architecture Design & Development: Design & implement complex, scalable data architectures that meet business needs. Develop & maintain data models & database designs, focusing on reliability, efficiency, & future growth. Architect & develop integrated data quality applications from the ground up using modern technology stacks such as Spark, Scala, ElasticSearch, AngularJS, Kibana, Kafka, & NiFi. Design & implement scalable & interoperable data architectures across cloud & hybrid environments (AWS, MS Azure, Google Cloud). Strong knowledge & experience with implementation of Microsoft tech stack. Develop & maintain robust data models, database designs, & ETL processes while ensuring data quality & security across all solutions. Lead the design, development, & maintenance of data pipelines, supporting both batch & streaming data architectures. Data Quality & Security: Collaborate with Data Governance, Master Data Management & Cyber Security Teams to establish & enforce best practices for data governance, ensuring high data quality, security, & compliance with relevant regulations.
Data Pipeline Management: - Oversee the design, construction, & maintenance of robust data pipelines ensuring efficient data flow for both batch & streaming data processing platforms. Design, implement & deliver data ingestion & transformation to enable easy data consumption by the business & reduce time-to-consume by implementing efficient tech data solutions. Oversee the design & implementation of data development tools using i.e. Python. Strategic Reporting: Oversee digitization, simplification & automation of strategic reporting processes throughout my client’s Product Lifecycle Management.
Collaboration & Stakeholder Engagement: - Partner with Group IT, the Data Governance, Master Data Management, Portfolio Management Teams, & other business units to define the technology stack for lifecycle data management. Collaborate with the key leads within Information Technology organisation, & various business units to ensure data architecture supports product lifecycle management & reporting automation efforts. Work closely with data governance, master data management, data scientists, data engineers, business analysts, product & data owners, as well as other stakeholders, to ensure data architecture aligns with business objectives & enhances decision-making processes.
Team Leadership & Mentorship: - Lead & mentor a global team of data engineers, architects, & developers, fostering a culture of innovation & professional growth. Mentor team members on best practices in software engineering, data quality, product evaluation, & technical design. Provide guidance, & career development opportunities to team members. Conduct performance reviews, track team effectiveness, & collect operational metrics to drive continuous improvement.
Data Product Management & Lifecycle Oversight: - Support overseeing end-to-end lifecycle data management from project win, execution, & operation to decommissioning. Execute strategy & own KPIs for assigned data products, working with business & consumer teams to ensure the success of the data product line. Drive automation of strategic reporting & support the data platform creation to meet internal & external client demands. Ensure creation & maintain documentation for data architecture, data lifecycle processes, & data solutions. Ownership of data delivery activities for Digital & Data Projects & Major IT Change Initiatives
Desirable Certifications: MS Azure, DevOps, AWS, PMP, PMI, ITIL, or data architecture-related certifications are highly desirable.
With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the Oil & Gas, Power & Renewables, Chemicals, Construction & Infrastructure, Life Sciences, Mining and Manufacturing sectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients.