At Fujitsu, our purpose is to make the world more sustainable by building trust in society through innovation. Founded in Japan in 1935, Fujitsu has been a pioneer in technology and innovation for decades. Today, as a world-leading digital transformation partner, we are committed to transforming business and society in the digital age.

With approximately 130,000 employees across over 50 countries, Fujitsu offers a broad range of products, services, and solutions. We collaborate with our customers to co-create solutions that drive enterprise-wide digitalization while actively working to address social issues and contribute to the United Nations Sustainable Development Goals (SDGs).

REQUIREMENTS

• Bachelor's degree in Information Technology, Computer Science, Telecommunications, Mathematics, Physics or a related field.
• At least 3 years of experience designing and implementing data architectures, preferably in cloud environments.
• Proven experience designing scalable, secure, resilient and cost-efficient data platforms.
• Strong understanding of data storage and processing architectures, including Data Lakes, Data Warehouses and Lakehouse architectures.
• Experience designing data integration, ingestion, transformation and processing solutions using ETL/ELT pipelines.
• Strong SQL skills and knowledge of data processing and querying technologies.
• Experience in data modelling, data quality, security, governance and lineage.
• Knowledge of cloud architectures and their core services for storage, processing, integration, security and monitoring.
• Ability to define technical architectures, evaluate and select technologies, and produce technical design documentation and standards.

DESIRABLE QUALIFICATIONS

• Experience with data architectures on AWS, Microsoft Azure or Google Cloud Platform, particularly in data platform migration and modernisation projects.
• Hands-on experience with technologies such as Databricks, Snowflake, Microsoft Fabric, Apache Spark, Kafka, dbt, Trino, Apache Iceberg or similar tools.
• Familiarity with data cataloguing, lineage and governance tools such as OpenMetadata, Microsoft Purview or equivalent solutions.
• Knowledge of Infrastructure as Code (IaC), deployment automation, CI/CD practices, containerisation and orchestration tools.
• Experience designing Lakehouse architectures, object storage solutions and open table formats.
• Knowledge of semantic modelling, enterprise metrics definition and data integration with BI tools, advanced analytics and AI solutions.
• Experience defining reference architectures, design patterns, best practices and enterprise-wide technical standards.
• Ability to provide technical leadership to multidisciplinary teams and collaborate with development, infrastructure, security and data governance stakeholders.

CERTIFICATIONS

• Microsoft Certified: Azure Data Engineer Associate.
• AWS Certified Data Analytics – Specialty.
• Microsoft Azure Fundamentals (AZ-900) or equivalent cloud fundamentals certifications.
• Certified Data Management Professional (CDMP), preferably Associate level or above.
• Technical certifications in Databricks, Snowflake, Google Cloud or other cloud data platforms.
• Certifications in cloud architecture, cloud security or Infrastructure as Code.

At Fujitsu, we are committed to an inclusive recruitment process that values the diverse backgrounds and experiences of all applicants. We believe that hiring people from a wide variety of backgrounds makes us stronger, not because it's the right thing to do, but because it allows us to draw on a wider range of perspectives and life experiences.

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