Azure Fabric Principal Hands-On Data Architect

Top Skills Details:

- Architect End-to-End Data Solutions: Design and lead the implementation of comprehensive data architectures using Microsoft Fabric, including lakehouse, data engineering, data science, and real-time analytics workloads.

•            Power BI Expertise: Develop and optimize interactive dashboards, reports, and visualizations in Power BI, with a focus on real-time reporting, and performance tuning for large-scale datasets.

•            Data Warehousing and Modeling: Build and maintain enterprise-grade data warehouses, applying best practices in dimensional modeling, star/snowflake schemas, and ensuring data quality and governance.

•            Data Lake Implementation: Construct layered data pipelines following the best practices of architecture to transform raw data into actionable insights, leveraging Delta Lake and Spark for efficiency.

•            Data Ingestion and Orchestration: Design and deploy scalable ingestion pipelines using Azure Data Factory, Synapse Pipelines, or Fabric Dataflows, supporting batch, streaming, and hybrid scenarios with tools like KQL, Event Hub.

•            Hands-On Delivery: Actively contribute to code development, debugging, and deployment in Azure environments, performing hands-on work as needed to unblock teams and ensure project momentum.

•            Engagement Leadership: Drive Azure data-related engagements end-to-end, from requirements gathering and solution scoping to deployment, optimization, and knowledge transfer, adapting to diverse client needs and technologies.

•            Collaboration and Innovation: Partner with stakeholders, including developers, analysts, and business leaders, to align technical solutions with business objectives; stay ahead of Azure innovations to recommend forward-thinking architectures.

•            Mentorship and Best Practices: Guide junior team members on Azure data patterns, conduct code reviews, and promote adherence to security, compliance, and cost-optimization standards.

Preferred Qualifications:

•            Experience: 12+ years in data architecture, engineering, and analytics, with at least 8 years focused on Azure cloud data services.

•            Core Technical Skills:

o            Deep expertise in Microsoft Fabric, OneLake, shortcuts, and unified analytics.

o            Advanced proficiency in Power BI for real-time reporting, DAX, Power Query, and integration with Fabric/Synapse.

o            Proven track record in data warehousing, data modeling, and ETL/ELT processes.

o            Hands-on experience building Enterprise architecture and data ingestion pipelines using Azure-native tools.

•            Hands-On Mindset: Demonstrated ability to roll up sleeves and perform technical implementation, troubleshooting, and optimization in fast-paced environments.

•            Flexibility: Proven versatility in leading varied Azure data engagements, from greenfield projects to migrations and modernizations.

•            Communication: Excellent verbal and written communication skills, with the ability to articulate complex technical concepts to non-technical audiences, facilitate workshops.