Data Architect (Fabric)

MAIN PURPOSE OF THE ROLE: Our Data Architects provide expertise, guidance, and strategic advice to clients to help them effectively develop their data assets for making informed decisions and achieving their business objectives.

RESPONSIBILITIES

• Implementing industry-standard Fabric solutions including both Fabric Lakehouse and Warehouse solutions.
• Presenting and explaining architectural decisions to different level stakeholders.
• Support clients across a range of sectors.
• Debugging and optimization of existing solutions.
• Resource consumption and cost optimization.
• Develop understanding of governing enterprise-level data environments.
• Testing and documentation.

EXPERIENCE

To be a suitable candidate for this Data Architect role you will have the experience to:

• Demonstrate deep expertise in enterprise-level data analytics solutions end-to-end using Fabric, with a focus on Lakehouse Architecture and ML/AI-driven analytics.
• Apply domain knowledge to recommend best practices and innovative architectures for modern data platforms.
• Develop strong working relationships with client stakeholders throughout delivery, ensuring clear communication and effective outcomes.
• Inform a client's data strategy and encourage adoption of best practices; challenge clients and colleagues constructively around delivery approach and content of deliverables.
• Gather requirements from stakeholders with a range of technical backgrounds.
• Have accountability for the delivery of solutions that delight our clients.
• Deliver to agreed plans and timelines, ensuring high standards of architecture, performance, and security.
• Contribute to the Architecture Practise to develop standard architecture patterns and resources.

TECHNICAL SKILLS

• Several years of experience in data analytics, consulting, or a related field.
• Proficient with data modelling 3NF/Kimball.
• Excellent understanding and experience of implementing Modern Data Warehouse architectures.
• Experience with Back End Azure Data Engineer technologies like ADF, Azure SQL Database and Synapse.
• Proficient in designing, implementing, and maintaining solutions using Microsoft Fabric.
• Python data engineering experience.
• Strong understanding of SQL and NoSQL databases, SQL, CosmosDB and Kusto Query Language (KQL).
• Solid experience of data pipeline development using both cloud and on-premises data sources.
• Excellent problem-solving, analytical, and communication skills.
• Strong desire to learn and adapt to new technologies.

• Several years of experience in data analytics, consulting, or a related field.
• Proficient with data modelling 3NF/Kimball.
• Excellent understanding and experience of implementing Modern Data Warehouse architectures.
• Experience with Back End Azure Data Engineer technologies like ADF, Azure SQL Database and Synapse.
• Proficient in designing, implementing, and maintaining solutions using Microsoft Fabric.
• Python data engineering experience.
• Strong understanding of SQL and NoSQL databases, SQL, CosmosDB and Kusto Query Language (KQL).
• Solid experience of data pipeline development using both cloud and on-premises data sources.
• Excellent problem-solving, analytical, and communication skills.
• Strong desire to learn and adapt to new technologies.