Senior Azure Data Consultant

Trility Consulting

8d•Remote

About The Position

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. This is a remote position with both W2 and 1099 engagement options available.

Requirements

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
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.
Must reside within the United States
Must be authorized to work in the United States without sponsorship now or in the future
Must be able to pass a background check

Nice To Haves

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.

Responsibilities

Partner with Trility clients, taking them from "napkin to production."
Listen to client challenges with empathy while using unique problem-solving skills to discover the right approach and deliver value throughout the engagement.
Contribute to building reusable ETL patterns.
Migrate critical data domains.
Partner with client engineers to establish long-term platform standards.
Design and implement reusable ETL/ELT frameworks and modern data ingestion patterns.
Implement Bronze/Silver/Gold medallion architectures within Microsoft Fabric OneLake production environments.
Design, implement, and optimize Microsoft Fabric lakehouse architectures for scalability, governance, and performance.
Transform, validate, and performance tune data using SQL and T-SQL.
Develop and orchestrate Spark notebooks and data transformation workloads within Microsoft Fabric.
Implement CI/CD pipelines and environment promotion processes using Azure DevOps, GitHub, or similar tooling.
Integrate data from relational databases, APIs, file-based sources, and enterprise business applications.
Collaborate with client stakeholders to gather requirements and translate business needs into scalable technical solutions.
Work in agile consulting or professional services environments with a collaborative, coach-and-contribute mindset.
Employ best practices in information security, governance, and operational excellence for cloud-based data environments.
Pair with client engineers, share best practices, and contribute to knowledge transfer while delivering production-quality solutions.
Explain technical concepts to both technical and non-technical stakeholders.