Negotiable
Undetermined
Undetermined
Paris, France
Summary: The Microsoft Fabric Consultant role involves designing, implementing, and supporting enterprise data platforms utilizing Microsoft Fabric and associated technologies. The consultant will collaborate with stakeholders to create analytical solutions and ensure data governance and quality across cloud environments. This position requires leading architecture decisions and optimizing platform performance. The role is based in Paris, France, and is offered as a contract position.
Key Responsibilities:
- Design, implement, and support enterprise data platforms using Microsoft Fabric, Azure, Snowflake, SQL Server, and Power BI.
- Architect and develop scalable Lakehouse and Data Warehouse solutions.
- Build data ingestion and transformation pipelines.
- Implement data governance, security, and monitoring frameworks.
- Collaborate with business stakeholders to translate requirements into analytical solutions.
- Deliver high-quality datasets, semantic models, and interactive dashboards.
- Lead architecture decisions and optimize platform performance and costs.
- Ensure data quality, reliability, and compliance across cloud and hybrid environments.
Key Skills:
- Experience with Microsoft Fabric, Azure, Snowflake, SQL Server, and Power BI.
- Strong knowledge of data architecture and data engineering principles.
- Ability to design and implement data ingestion and transformation pipelines.
- Experience in data governance and security frameworks.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills.
Salary (Rate): undetermined
City: Paris
Country: France
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Microsoft Fabric Consultant
Senior Data Architect / Microsoft Fabric Data Engineer
Responsible for designing, implementing, and supporting enterprise data platforms using Microsoft Fabric, Azure, Snowflake, SQL Server, and Power BI. Architect and develop scalable Lakehouse and Data Warehouse solutions, build data ingestion and transformation pipelines, and implement data governance, security, and monitoring frameworks.
Collaborate with business stakeholders to translate requirements into robust analytical solutions, delivering high-quality datasets, semantic models, and interactive dashboards. Lead architecture decisions, optimize platform performance and costs, and ensure data quality, reliability, and compliance across cloud and hybrid environments.