Senior Data Consultant – Microsoft Fabric, Azure

🔥 3 hours ago

🏈 Alabama, Colorado, +17 more states – Remote

🏈 Alabama – Remote ⛰️ Colorado – Remote 🐊 Florida – Remote 🌾 Iowa – Remote 🌪️ Kansas – Remote 🐎 Kentucky – Remote ⚜️ Louisiana – Remote 🦬 Montana – Remote 🌾 Nebraska – Remote 🎰 Nevada – Remote 🌲 North Carolina – Remote 🏈 Ohio – Remote ❄️ Minnesota – Remote 🏰 Missouri – Remote 🌴 South Carolina – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote 🧀 Wisconsin – Remote

⏰ Full Time

🟠 Senior

💼 Consultant

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Trility Consulting

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Trility Consulting is a business-driven technology consulting firm focused on AI & Data, software design and development, cloud engineering, and DevOps. Known for its values of trust, partnership, and excellence, Trility offers a collaborative approach to tackle important business challenges with clarity and confidence. The company emphasizes continuous delivery and security by design, employing a proven, scalable methodology to achieve modern solutions. Recognized as Technology Company of the Year in Iowa, Trility is owned by its senior executives, ensuring investment and outcome-driven project management. With a focus on predictability, repeatability, and auditability, Trility serves clients across various industries, offering both full-stack solutions and strategic consulting expertise.

📋 Description

• 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

• 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

• 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