Senior Full-Stack BI Architect / Fabric Data Engineer

About Us At Proactive Technology Management, we're transforming how businesses harness data to drive innovation and informed decision-making. As leaders in the SMB space, we leverage cutting-edge technologies to deliver actionable insights that give our clients a competitive advantage. We're seeking a Senior Full-Stack BI Architect / Fabric Data Engineer to design and implement innovative, domain-driven data solutions that humanize data and empower decision-makers. If you have a passion for making data meaningful and impactful, we want to hear from you! Role Summary As a Senior Full-Stack BI Architect / Fabric Data Engineer, you will lead the design and development of robust, enterprise-grade data solutions that prioritize human-centric design through the use of ubiquitous language and domain-driven principles. You will leverage deep expertise in medallion architecture, advanced data modeling, and visualization to ensure our clients receive intuitive, actionable insights. Your technical expertise in the Microsoft Cloud Data Stack, DAX, Power Query M, SQL, and Spark Python will drive success in building scalable, user-friendly solutions. Key Responsibilities Lead the design and implementation of ETL/ELT pipelines within a medallion architecture (Bronze, Silver, and Gold layers) to ensure data quality, scalability, and accessibility across use cases. Architect and develop advanced data models that reflect domain-driven design principles , aligning with business domains and using ubiquitous language to ensure clarity and usability for all stakeholders. Design and implement star and snowflake schemas, along with medallion schema practices , to provide flexible, high-performance data structures for analytics. Create dynamic, user-centric dashboards and advanced reports in Power BI, empowering stakeholders with real-time insights and actionable metrics. Leverage DAX and Power Query M to craft sophisticated calculations and transformations that enhance data usability and business relevance. Build and optimize SQL-based solutions for database management, queries, and data integration, ensuring efficiency and scalability. Use Spark Python for processing large datasets and performing advanced analytics to meet complex business requirements. Collaborate with business leaders and cross-functional teams to understand data needs, define key performance indicators (KPIs), and ensure alignment with organizational goals. Stay informed on advancements in data engineering, business intelligence, and analytics, continuously driving innovation and improvement. Mentor team members to build organizational capacity in BI and data engineering best practices.