What You Will Do & The Experience You Will Need
Trility Consulting is actively seeking a Senior Data Engineer with proven Microsoft Fabric experience to help build and scale modern data solutions within a Microsoft Fabric environment. In this role, you will work alongside Trility consultants and client engineers to implement data ingestion pipelines, develop lakehouse solutions, and support the delivery of governed analytics capabilities.
This engagement follows Trility's Coach-and-Contribute model, meaning you'll be actively building production solutions while pairing with client engineers to share best practices and accelerate adoption of Microsoft Fabric.
This is a remote W2 or 1099 position.
Your Responsibilities
- 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
- Build, test, and optimize ETL/ELT processes for performance, scalability, and maintainability
- Support the implementation of Direct Lake semantic model solutions and downstream analytics requirements
- Participate in Azure DevOps CI/CD processes, including Dev/Test/Prod promotion workflows
- Support metadata, lineage, and governance integrations within the broader data platform
- 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
What You Bring
- 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 APIs, relational databases, and file-based 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
Preferred Experience
- Experience with Direct Lake implementations
- Experience integrating governance platforms such as Alation
- Experience supporting Power BI semantic models and analytics workloads
- Experience working within consulting or professional services environments
- Exposure to Azure OpenAI, Power Apps, or AI-assisted data workflows