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.
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