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Proactive Technology Management

Senior Full-Stack BI Architect / Fabric Data Engineer

Proactive Technology Management

Senior Full-Stack BI Architect designing and implementing data solutions at Proactive Technology Management. Transforming how businesses harness data to drive innovation and informed decision-making.

Posted 6/13/2026full-timeFerndale • Missouri • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies
AzureCloudETLPythonSparkSQL

About the role

Key responsibilities & impact
  • 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.

Requirements

What you’ll need
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field; advanced certifications in data engineering or BI are a plus.
  • 7+ years of experience in data engineering, BI architecture, or a related role, with a focus on enterprise-grade solutions.
  • In-depth expertise in medallion architecture, data modeling (star schemas, snowflake schemas), and best practices for data warehousing.
  • Proven ability to implement domain-driven design (DDD) principles, ensuring data solutions reflect business domains and are accessible through ubiquitous language.
  • Expert-level proficiency in Power BI, DAX, Power Query M, and SQL, with demonstrated success delivering scalable, impactful BI solutions.
  • Strong programming skills with Spark Python for advanced data processing and analytics.
  • Experience with the Microsoft Cloud Data Stack (Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric) and other cloud technologies.
  • A track record of translating complex datasets into intuitive insights, creating value for both technical and non-technical stakeholders.
  • Exceptional problem-solving skills, attention to detail, and ability to thrive in a fast-paced, dynamic environment.
  • Strong communication and leadership skills, with a focus on collaboration and stakeholder engagement.

Benefits

Comp & perks
  • Competitive compensation tailored to senior-level expertise.
  • Opportunities to shape data strategy and lead transformative BI projects.
  • Ongoing professional development through advanced training and certifications.
  • A supportive, innovative culture that values diversity, inclusion, and creativity.
  • Flexible remote work arrangements to support work-life balance.
  • Comprehensive health, dental, and vision insurance.
  • 401(k) retirement plan with company match

ATS Keywords

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Hard Skills & Tools
ETLELTdata modelingstar schemasnowflake schemaDAXPower Query MSQLSpark Pythondata warehousing
Soft Skills
problem-solvingattention to detailcommunicationleadershipcollaborationstakeholder engagement
Certifications
Bachelor’s degreeMaster’s degreeadvanced certifications in data engineeringadvanced certifications in BI