Lead Data Consultant (Microsoft Fabric)

Trility Consulting LLC; Guin (AL); A distancia; USD 120.000 - 155.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Paid time-off

Floating holidays

Company holidays

Descripción de la vacante

Trility Consulting LLC is seeking a Senior Data Consultant to modernize an Azure Synapse data platform and migrate prioritized workloads to Microsoft Fabric. You will partner with Trility consultants and client engineers to validate Fabric architecture, build metadata-driven ingestion, and migrate data workloads into a modern lakehouse environment.

You’ll work hands-on with client engineers, influence architectural decisions, and help establish repeatable patterns for ongoing maintenance and

Formación

• 5+ years of experience with Azure Data Services, including Fabric, ADF, Databricks or Synapse
• Hands-on Fabric experience in production environments (lakehouses, pipelines, notebooks)
• Strong experience building/maintaining production ETL/ELT pipelines
• Design/implement metadata-driven ingestion frameworks with config-based onboarding
• Experience developing Spark notebooks and data transformations with PySpark & Spark SQL
• Strong SQL skills for data transformation, validation, and performance tuning
• Experience with Git-based CI/CD for data artifacts (GitHub Actions, Azure DevOps)
• Hands-on Claude Code for AI-assisted software development and code review
• Experience validating data migrations and ensuring data quality across systems
• Experience integrating data from REST APIs and databases; familiar with data governance and catalog concepts
• Experience migrating data platforms from Synapse to Fabric; Oracle and DB2 experience

Responsabilidades

• Evaluate and refine the Fabric architecture, including metadata structures and reusable ingestion patterns
• Design a metadata-driven ingestion framework allowing config-based onboarding of new tables/sources
• Migrate prioritized data sources from Azure Synapse to Fabric
• Develop and orchestrate Fabric data pipelines and Spark notebooks (PySpark, Spark SQL)
• Analyze existing Synapse pipelines to understand dependencies and translate logic to Fabric
• Build data validation and reconciliation processes to verify migration accuracy
• Analyze loading requirements and recommend full-load, incremental, or CDC patterns
• Implement Git-based CI/CD and environment promotion for Fabric artifacts via GitHub Actions or Azure DevOps
• Use Claude Code to define specs, speed up development, review AI-generated code
• Evaluate metadata, lineage, and catalog needs (e.g., Purview)
• Apply data engineering best practices for performance, testing, monitoring, security, and ops

Conocimientos

Azure Data Services

Microsoft Fabric

ETL Pipelines

PySpark

Spark SQL

SQL

GitHub Actions

Azure DevOps

Claude Code

Data Migrations

Data Quality

Herramientas

Databricks

Azure Data Factory

Azure Synapse

Purview

REST APIs

Oracle

DB2

Descripción del empleo

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.

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. Candidates are self-motivated and relentlessly working to become more today than they were yesterday.

Trility Consulting is seeking an experienced Senior Data Consultant to support a client engagement focused on modernizing an existing Azure Synapse data platform and migrating prioritized workloads to Microsoft Fabric.

In this role, you’ll partner with Trility consultants and client engineers to pressure-test and refine the Fabric architecture, build reusable, metadata-driven ingestion frameworks, and migrate data workloads into a modern lakehouse environment. You’ll develop scalable data pipelines, implement validation processes to ensure migration accuracy, and establish automated CI/CD workflows that support reliable deployment from development through production.

You’ll work hands‑on alongside client engineers, contribute to architectural decisions, and help establish repeatable patterns that enable the team to maintain and extend the platform independently. Experience using Claude Code as part of an AI‑assisted development workflow is essential to this engagement.

This is a remote W2 position.

Responsibilities

• Evaluate and refine the existing Microsoft Fabric architecture, including metadata structures, table-level event triggering, and reusable ingestion patterns
• Design and implement a metadata‑driven ingestion framework that allows new tables and sources to be onboarded through configuration rather than custom development
• Migrate prioritized data sources and workloads from Azure Synapse into Microsoft Fabric
• Develop and orchestrate Fabric data pipelines and Spark notebooks using PySpark and Spark SQL
• Analyze existing Azure Synapse pipelines, including complex and nested workflows, to understand dependencies and translate existing processing logic into Fabric solutions
• Build data validation and reconciliation processes to verify migration accuracy, including duplicate detection, key alignment, and record‑level comparisons between Synapse and Fabric
• Analyze source‑specific loading requirements and recommend appropriate full‑load, incremental, or change data capture (CDC) patterns
• Implement Git‑based CI/CD and automated environment promotion for Fabric artifacts, including pipelines and notebooks, using GitHub Actions, Azure DevOps, or similar tooling
• Leverage Claude Code to define implementation specifications, accelerate development, and review AI‑generated code for quality, correctness, and maintainability
• Evaluate data dictionary, metadata, and lineage requirements, including potential catalog solutions such as Microsoft Purview
• Apply data engineering best practices related to performance, testing, monitoring, documentation, security, and operational support

Qualifications

• 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, including lakehouses, pipelines, notebooks, medallion architecture, workspaces, and capacity management
• ~ Strong experience building and maintaining production ETL/ELT pipelines and reusable data ingestion frameworks
• ~ Demonstrated experience designing and implementing a metadata‑driven ingestion framework, including configuration‑based onboarding and extensible processing patterns
• ~ Experience developing Spark notebooks and data transformation workflows using PySpark and Spark SQL
• ~ Strong SQL skills for data transformation, validation, and performance tuning, including the ability to read and understand existing T‑SQL logic
• ~ Experience working with Azure Synapse, including analyzing existing pipelines and understanding complex data processing dependencies
• ~ Experience designing and implementing Git‑based CI/CD workflows for data platform artifacts using GitHub Actions, Azure DevOps, or similar tooling
• ~ Hands‑on experience using Claude Code for AI‑assisted software development, including directing code generation, working across multiple files, and critically reviewing generated code
• ~ Experience validating data migrations and ensuring data quality, accuracy, and consistency across source and target systems
• ~ Experience integrating data from REST APIs, relational databases, and structured or semi‑structured data sources
• ~ Familiarity with data governance, lineage, metadata management, and data catalog concepts
• ~ Experience migrating data platforms or workloads from Azure Synapse to Microsoft Fabric
• Experience working with Oracle and DB2 data sources
• Experience implementing incremental ingestion, change data capture (CDC), and source‑specific loading strategies
• Experience developing data reconciliation and validation frameworks for large‑scale migrations
• Experience evaluating Microsoft Purview or other data catalog and lineage solutions

Location

Work remotely anywhere in the United States with flexible work hours

Benefits

• Paid time‑off, company holidays, and floating holidays