Power BI Architect - Data Engineer

Role: Power BI Architect - Data Engineer

Responsibilities:
• As an Architect, you will be actively involved in designing, implementation, and managing comprehensive business intelligence solutions, focusing on data modeling, report development, and ensuring data security and compliance

• Working within our high-performing and collaborative teams 

• Present data migration solutions and influence key stakeholders in our client groups
• Assist our clients to drive towards strategic data architecture goals and objectives by enhancing the coherence, quality, security, and availability of organization's data assets, by developing their data migration roadmap

•Design and leadership of real-time data architectures oriented towards large volumes of information.

•Implementation of integration flows (ETL/ELT) with Data Lakes and Microsoft Fabric, covering streaming scenarios, IoT, and on-premises/cloud sources.

•Optimization and governance of tabular models in Power BI, ensuring high availability, security, and scalability.

•Coordination of data quality standards with a focus on DataOps for continuous deployments and automation.

Requirements :

• Demonstrable experience in Master data management 
• 7+ years of experience in designing and implementing BI solutions and data architectures (advanced modeling, DAX, optimization, and governance)

• Strong knowledge & Mastery of Data Lake, Microsoft Fabric, and real-time ingestion methods.

• Hands on experience & Knowledge of Python or R for data manipulation/transformation and automation.

• Proven experience with tabular modeling, DAX queries, and report optimization in Power BI.

• Ability to plan, define, estimate and manage the delivery of work packages using the above experience
• Excellent communication skills and the flexibility to respond to different program demands
 

Skills:
• A deep understanding of key technical developments in your area of expertise and the ability to explain what they mean for our clients
• Able to lead the definition of information and data models, data governance structures and processes 

• Experience of working in complex environments across multiple business and technology domains
• Experienced in "bridging the gap" between functional and non-functional teams