Senior Data Consultant – Microsoft Fabric, Azure

Trility Consulting

Senior Data Engineer building modern data solutions within a Microsoft Fabric environment at Trility Consulting. Collaborating with client engineers to implement data pipelines and analytics capabilities.

Posted 7/27/2026full-timeRemote • Alabama, Colorado, Florida, Iowa, Kansas, Kentucky, Louisiana, Minnesota, Montana, Nevada, New York, North Carolina, Ohio, South Carolina, Tennessee, Texas, Virginia, Wisconsin • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining Microsoft Fabric data pipelines, implementing medallion architecture patterns, and optimizing ETL/ELT processes. Proficient in collaborating with technical teams and supporting analytics workloads while adhering to data governance and security best practices.

Highest-signal resume keywords

Microsoft FabricETL/ELT Pipeline DevelopmentAzure Data ServicesSpark NotebooksData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData TransformationSchema Drift ManagementLakehouse ArchitectureData Ingestion FrameworksPerformance TuningMetadata ManagementDirect Lake SolutionsCI/CD ProcessesData Engineering Best Practices

Soft Skills

CollaborationCommunication

Tools & Technologies

Azure Data FactoryDatabricksAzure DevOpsPower BIAlation

Industry Keywords

Medallion ArchitectureCloud-Based AnalyticsConsultingProfessional Services

Tech Stack

Tools & technologies

AzureCloudETLSparkSQL

About the role

Key responsibilities & impact

Build and maintain Microsoft Fabric data pipelines supporting REST APIs, SQL Server sources, and file-based ingestion processes
Develop and orchestrate Spark notebooks within Microsoft Fabric
Implement Bronze, Silver, and Gold lakehouse patterns within OneLake environments
Develop ingestion processes that accommodate schema drift and evolving source systems
Design reusable ingestion frameworks and scalable data engineering patterns that accelerate future solution delivery.
Build, test, and optimize ETL/ELT processes for performance, scalability, and maintainability
Support the implementation of semantic models, Direct Lake solutions, and downstream analytics requirements.
Participate in Azure DevOps CI/CD processes, including Dev/Test/Prod promotion workflows
Implement metadata, lineage, governance, and security best practices to support enterprise-scale Microsoft Fabric solutions.
Collaborate closely with client engineers through paired development and knowledge-sharing activities
Apply data engineering best practices related to testing, monitoring, documentation, and operational support

Requirements

What you’ll need

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
5+ years of experience working with Azure Data Services, including Microsoft Fabric, Azure Data Factory, Databricks, or Synapse
Hands-on Microsoft Fabric experience in production environments
Strong experience building and maintaining ETL/ELT pipelines
Experience developing Spark notebooks and data transformation workflows
Experience implementing medallion architecture patterns (Bronze, Silver, Gold)
Strong SQL skills for data transformation, validation, and performance tuning
Experience integrating data from REST APIs, relational databases, XML, CSV, and other structured or semi-structured data sources.
Experience working with Azure DevOps CI/CD processes
Familiarity with data governance, lineage, and metadata management concepts
Experience working within lakehouse architectures and cloud-based analytics platforms
Ability to collaborate effectively with technical teams and participate in client-facing discussions when needed
Strong written and verbal communication skills
Experience with Direct Lake implementations (preferred)
Experience integrating governance platforms such as Alation (preferred)
Experience supporting Power BI semantic models and analytics workloads (preferred)
Experience working within consulting or professional services environments (preferred)
Exposure to Azure OpenAI, Power Apps, or AI-assisted data workflows (preferred)

Benefits

Comp & perks

Work remotely anywhere in the United States with flexible work hours
Paid time-off, company holidays, and floating holidays
Comprehensive benefits with contributions toward premiums
401(k) plan
Sponsored and supported learning opportunities