Trility Consulting
Senior Azure Data Consultant (Microsoft Fabric Modernization)
Trility Consulting is actively seeking a Senior Azure Data Consultant who is an expert in the field and a powerhouse on the keyboard. In this role, you will partner with Trility clients, taking them from "napkin to production." You will listen to their challenges with empathy while using your unique problem-solving skills to discover the right approach and deliver value throughout the engagement.
This engagement is centered around a large-scale Microsoft Fabric implementation and modernization initiative. The ideal consultant has successfully delivered production Microsoft Fabric solutions and can immediately contribute to building reusable ETL patterns, migrating critical data domains, and partnering with client engineers to establish long-term platform standards.
- 5+ years building and supporting enterprise data solutions within Microsoft Azure
- Hands-on experience implementing Microsoft Fabric in a production environment is required
- Strong experience building data pipelines, lakehouses, and analytics solutions within Microsoft Fabric
- Experience designing and implementing reusable ETL/ELT frameworks and modern data ingestion patterns
- Experience implementing Bronze/Silver/Gold medallion architectures within Microsoft Fabric OneLake production environments
- Strong data modeling skills, including Dimensional Modeling, Star Schema, and Kimball methodologies
- Experience designing, implementing, and optimizing Microsoft Fabric lakehouse architectures for scalability, governance, and performance
- Strong SQL and T-SQL skills for data transformation, validation, and performance tuning
- Experience supporting the modernization or migration of legacy analytics platforms, including R, R Shiny, SSRS, Talend, or similar technologies, into modern Microsoft data platforms is highly preferred
- Hands-on experience developing and orchestrating Spark notebooks and data transformation workloads within Microsoft Fabric
- Experience implementing CI/CD pipelines and environment promotion processes using Azure DevOps, GitHub, or similar tooling
- Familiarity with DataOps practices, automated testing, and production deployment standards for enterprise data platforms
- Experience with Azure Data Factory (ADF), Databricks, Azure Synapse, or other Azure data technologies to support broader data platform initiatives
- Experience integrating data from relational databases, APIs, file-based sources, and enterprise business applications
- Ability to collaborate with client stakeholders to gather requirements and translate business needs into scalable technical solutions
- Experience working in agile consulting or professional services environments with a collaborative, coach-and-contribute mindset
- Employs best practices in information security, governance, and operational excellence for cloud-based data environments
- Ability to pair with client engineers, share best practices, and contribute to knowledge transfer while delivering production-quality solutions
- Excellent written and verbal communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders
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