Sr Data Engineer (Microsoft Fabric, Power BI, and Purview)

5+ years of experience in data engineering, analytics engineering, data platform development, or related technical roles.

Strong SQL and Python skills, with experience building analytical data models, transformation logic, and ETL/ELT pipelines for enterprise analytics and reporting use cases.

Experience working with cloud data platforms, preferably Microsoft Azure and Microsoft Fabric.

Working knowledge of dimensional modeling, lakehouse patterns, and semantic modeling concepts.

Ability to work independently while collaborating effectively with distributed teams, with strong written and verbal communication skills.

Advanced English proficiency, written and spoken, required for daily collaboration with U.S.-based teams and client-facing engagements.

Valid passport and up-to-date travel documentation for the United States, as occasional international travel may be required depending on client and project needs.

Design, develop, and maintain Microsoft Fabric Lakehouses, Warehouses, Data Pipelines, Dataflows Gen2, Notebooks, and OneLake-based data assets.

Build scalable ingestion, transformation, cleansing, and validation pipelines for structured, semi-structured, and cloud-based data sources.

Implement medallion architecture patterns across Bronze, Silver, and Gold layers to support trusted enterprise analytics.

Develop Power BI-ready datasets and semantic models that support executive dashboards, operational reporting, and self-service analytics.

Partner with BI developers to optimize Direct Lake, Import, and composite model approaches based on usage, scale, performance, and governance needs.

Apply Microsoft Purview and Fabric governance practices, including metadata, lineage, and data quality controls, to improve data discoverability and compliance.

Optimize data workloads for performance, reliability, scalability, and cost-effective capacity utilization.

Support CI/CD, deployment pipelines, version control, documentation, monitoring, and production support for data solutions.

Translate technical data engineering concepts into clear explanations for business users and client stakeholders.

Collaborate with architects, analysts, data scientists, and business teams to deliver end-to-end data and analytics solutions.

Experience supporting Power BI datasets, semantic models, and reporting environments, with strong understanding of analytics solution design.

Strong understanding of data governance, data quality, privacy, access control, and metadata management concepts at an enterprise scale.

Hands-on experience with Microsoft Fabric Lakehouse, Warehouse, Data Factory, Dataflows Gen2, Notebooks, OneLake, and Direct Lake.

Experience with Microsoft Purview data catalog, lineage, classification, glossary, or governance workflows.

Experience with Power BI performance tuning, DAX, deployment pipelines, and workspace governance.

Experience with Azure Data Factory, Azure Data Lake, Azure SQL, Synapse, Databricks, or Delta Lake.

Experience implementing CI/CD, Git integration, automated testing, and deployment standards for data solutions.

Microsoft Fabric, Power BI, Azure, or Databricks certifications are a plus

Competitive salary.

Opportunity to work on Integratz's enterprise data warehouse modernization program, applying modern Microsoft Fabric, Power BI, Purview, and Azure technology.

A proven delivery method, Integratz's medallion architecture build pattern, not a one-off, unstructured engagement.

Flexible, primarily remote work environment.

Collaborative, inclusive, and multicultural consulting environment with direct exposure to enterprise-scale data transformation.

Growth path into architecture, analytics engineering leadership, governance, or data platform strategy roles, with access to certifications and cutting-edge tools and technologies.

Supportive team culture focused on practical delivery, client value, and continuous improvement.