Senior Solutions Architect/Data Engineer to design the overall Data Warehouse Architecture and solution on Microsoft Fabric, providing technical guidance to the team

Contract: 12 months + 12 months

Hybrid of three days in the office and two days work from home. This is the standard and can be adjusted depending on what is required for the project. The client would also like the professional resource to be flexible with their schedule and be onsite when needed.

35 billable hours a week

Must Haves:

• Extensive experience as Senior Data / Solution Architect with proven experience in Data Lakehouse architecture

• Must have previous experience with development in the Microsoft ecosystem (.Net framework) and specifically in the Microsoft Azure and Power BI.

• Expert level experience in Azure Cloud Technologies including Microsoft Fabric

• 12+ years of strong technical experience in building and maintaining cloud data warehouses and data pipelines to support analytical and operational workloads

• Proficiency in data governance, data modeling, and metadata management.

• Excellent communication and stakeholder management skills.

• Experience with event-driven architecture, data mesh, data products, or self-serve analytics environments.

Preferred Qualifications:

• Microsoft Azure Data Engineer Associate (DP-) or equivalent

Solution Architect / Senior Data Engineer:

This role encompasses two key responsibilities. Firstly, the individual will be responsible for designing the overall Data Warehouse Architecture and solution on Microsoft Fabric, providing technical guidance to the team. Secondly, they will assist in the development of data pipelines to expedite the overall development process. This role is pivotal in ensuring that the new data warehouse aligns with state-of-the-art design and best practices, ultimately improving data governance, policies, and standardization across the service.

Key Responsibilities:

• Architect and implement Azure Cloud native Enterprise Data Lakehouse and Data Warehouse solutions integrating structured and unstructured data

• Design scalable ETL/ELT pipelines using tools like Apache Spark

• Design and Implement Lakehouse and Data Warehouse Models for seamless data ingestion, transformation, and consumption.

• Develop data governance, security, and compliance frameworks in Microsoft Fabric.

• Collaborate with business and technical stakeholders to gather requirements and translate them into Microsoft Fabric architecture blueprints.

• Work closely with Data Engineers, BI Developers, and Cloud Architects to implement end-to-end data solutions.

• Guide the migration of legacy systems to Microsoft Fabric.

• Lead architectural decisions and influence the evolution of the company's data platform for scalability and maintainability

Create and maintain technical documentation including Architecture Diagrams, Solution Documents, and other related project documentation