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).
Role Overview
The Microsoft Synapse Lead is responsible for designing, implementing, and leading the development of enterprise-scale data platforms built on Azure Synapse Analytics. This role combines strong technical leadership with hands-on architecture and development, ensuring scalable, secure, and high-performance data solutions that support analytics, reporting, and advanced data workloads.
The Synapse Lead works closely with data engineers, architects, analysts, and business stakeholders to deliver modern data platform capabilities using the Azure ecosystem.
Key Responsibilities
- Lead the design and architecture of data platforms using Azure Synapse Analytics.
- Oversee development of data pipelines, data lakes, and data warehouses in Azure.
- Design and implement ETL/ELT processes using Synapse Pipelines, Azure Data Factory, and Spark.
- Establish best practices, standards, and governance for Synapse development and data engineering.
- Provide technical leadership and mentorship to data engineers and developers.
- Optimize data models and queries for performance, scalability, and cost efficiency.
- Integrate Synapse with other Azure services such as Azure Data Lake, Azure Databricks, Power BI, and Azure Purview.
- Collaborate with stakeholders to translate business requirements into technical solutions.
- Ensure data security, compliance, and governance policies are implemented.
- Monitor platform performance and troubleshoot complex data pipeline and processing issues.
- Participate in architecture reviews and roadmap planning for the enterprise data platform.
Required Skills & Experience
- 7+ years of experience in data engineering, data warehousing, or analytics platforms.
- 3+ years of hands-on experience with Azure Synapse Analytics.
- Strong expertise in SQL, Spark, and distributed data processing.
- Experience building data lakes and modern data warehouse architectures.
- Proficiency with Azure Data Factory, Azure Data Lake Storage, and Azure SQL.
- Strong understanding of ETL/ELT patterns and data modeling (Kimball, star schema, etc.).
- Experience integrating Synapse with Power BI or other BI tools.
- Knowledge of CI/CD pipelines and DevOps practices for data platforms.
- Strong problem-solving and performance tuning skills.
Preferred Qualifications
- Experience with Azure Databricks or Spark-based analytics.
- Knowledge of Data Governance and Data Catalog tools (e.g., Azure Purview).
- Familiarity with streaming and real-time data architectures.
- Microsoft certifications such as:
- Azure Data Engineer Associate (DP-203)
- Azure Solutions Architect Expert
Key Competencies
- Technical leadership
- Data architecture design
- Stakeholder communication
- Problem solving and analytical thinking
- Mentoring and team development
FYI Please note that this is a pipeline vacancy, meaning it does not require immediate hiring. Instead, it is part of a proactive strategy to build a talent pool for future opportunities
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.