The Senior Azure Data Consultant will build and maintain data pipelines, develop lakehouse solutions, optimize ETL processes, and support analytics capabilities in a Microsoft Fabric environment.
Who We Are
At Trility Consulting®, we’ve built a strong, remote-work culture where people thrive, grow, and support each other – earning us Great Place to Work® Certification. Headquartered in Central Iowa, we embrace flexible schedules and collaboration across geographically distributed teams serving clients from all corners of the United States and globally.
We seek team members with the grit necessary to forge paths where none previously existed, to get back up when circumstances knock them down, to adapt to the changing needs of the client even when it is uncomfortable, and to deliver on our commitments. Candidates must respect and value people, recognize that over-communication is barely good enough, thrive on solving complex problems, have a passion for building teams, and know that delivering what a client actually values is more important than their own predispositions. They understand value proposition, love delivering value, and take pride in learning the expansive and ever-changing business of clients. Candidates are self-motivated and relentlessly working to become more today than they were yesterday.
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.
At this time, Trility is only able to hire W2 employees who reside in the following states: Alabama, Colorado, Delaware, Florida, Georgia, Iowa, Kansas, Kentucky, Louisiana, Minnesota, Missouri, Montana, Nebraska, Nevada, North Carolina, Ohio, South Carolina, Tennessee, Texas, Utah, Virginia, and Wisconsin.
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
How We Put You First
Trility’s culture is built upon the journey, character, and work ethic of our team members. We are a team of honorable and professional lifelong learners who work together to solve problems proactively.
• 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
Job 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
Similar Jobs
Cloud • Enterprise Web • Information Technology • Software • Business Intelligence • Consulting • App development
Lead implementation of Microsoft Fabric, develop ETL processes and data pipelines, ensure data governance, and collaborate with stakeholders for technical solutions.
Top Skills:
Azure Data FactoryCloud AnalyticsDatabricksETLMicrosoft FabricSQLSynapse
Big Data • Information Technology • Software • Analytics • Energy
As a Principal Software Engineer, lead the design and implementation of features, mentor engineers, and ensure high software quality and performance across the PET product suite.
Top Skills:
AtlassianBitbucketDatabricksGitJenkinsNode JsPythonReactTypescript
Big Data • Information Technology • Software • Analytics • Energy
The Principal Data Scientist will lead data analysis projects, collaborate with product management, assess business impacts, ensure data governance, and mentor junior analysts. Must leverage statistical techniques and machine learning to drive product strategy and business outcomes.
Top Skills:
PythonSQL
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
