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This position will play a key role in strengthening an established Microsoft Fabric environment by building scalable data solutions that improve reliability, accessibility, and business value. The ideal candidate brings strong technical depth in modern data engineering, paired with the ability to evaluate data design choices thoughtfully and communicate effectively with stakeholders. You will work with business-facing data needs while helping shape well-structured datasets that support reporting, analytics, and long-term platform maturity.
Job Responsibility
Expand and enhance an existing Microsoft Fabric data platform to improve performance, consistency, and downstream usability
Develop layered data solutions using Bronze, Silver, and Gold design principles, with particular attention to delivering trusted and analytics-ready Gold datasets
Create and refine data models that support accurate reporting by evaluating data relationships, structure, quality, and business context
Build ingestion and transformation pipelines for Salesforce data along with additional source systems used across the organization
Contribute to the evolution of reporting and warehousing practices by reducing dependence on legacy approaches and spreadsheet-driven processes
Work autonomously on technical deliverables while providing clear updates on milestones, design decisions, dependencies, and potential issues
Partner with business stakeholders to understand reporting needs and translate them into effective data structures that support analytics and visualization tools
Use data engineering technologies such as Python, Spark, ETL frameworks, and related platform capabilities to deliver scalable solutions
Support report-oriented data design by preparing curated datasets that align with Power BI and other business intelligence use cases
Requirements
Hands-on experience building and maintaining solutions within Microsoft Fabric
Strong knowledge of data modeling concepts and layered architecture patterns, including Bronze, Silver, and Gold frameworks
Experience working in Azure-based data environments and delivering cloud-oriented data engineering solutions
Demonstrated ability to apply independent judgment to data design decisions rather than simply executing predefined requests
Background in ingesting, transforming, and modeling Salesforce data for analytics or reporting purposes
Familiarity with legacy reporting or warehousing environments, including spreadsheet-heavy processes and older platform patterns
Experience with tools and technologies such as Python, Apache Spark, ETL processes, and related big data or streaming concepts
Strong communication skills and confidence working directly with business partners to clarify needs and explain technical recommendations