Data Architect

Job Title: Microsoft Fabric Data Architect (6-Month initial Contract)

Location: Remote (workshops as required)

Contract Rate: £600+ (Outside IR35)

About the Role:

We are seeking a Microsoft Fabric Data Architect to join one of our clients for a critical 6-month project within the manufacturing sector. You will play a key role in the design, setup, and scaling of Microsoft Fabric operations, with the potential to progress into advanced data models. This project involves large-scale data production and will require both technical expertise and strong communication skills.

Key Responsibilities:

• You will be responsible for the initial build and design of the data environment, configuration, live pipeline setup, testing, automation, and release management.
• Work closely with the team to set up data models, scale operations, and ensure smooth operational flow.
• Leading the advanced setup and optimisation of Microsoft Fabric for data analytics, model development, and automation.
• Working on the practical implementation, with a focus on data ingestion, integration, and optimisation of pipelines.
• Engage with various stakeholders across the business, ensuring seamless communication and integration.

Key Skills & Expertise Required:

• Microsoft Fabric Expertise: Analytics, DAX, PowerBI
• Data Engineering & Integration: SQL, Python, CI/CD pipelines, ingestion, integration, and automation
• Big Data Tools: PySpark, Apache Spark, Data Warehousing, Data Factory, Synapse, Databricks, and Data Lake
• DevOps & Version Control: CI/CD pipelines, Terraform, GitHub, RBAC (Role-Based Access Control)
• Security & Governance: Data encryption, threat detection, and governance implementation
• Cloud & Infrastructure: Experience with Azure is essential
• Manufacturing Sector: Previous experience in a manufacturing environment is highly preferred

Soft Skills:

• Communication: Strong verbal and written communication skills, with the ability to engage effectively with stakeholders.
• Teamwork: Ability to work inclusively with a diverse team.
• Problem-solving: Strong analytical and problem-solving abilities.