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Senior Full-Stack BI Architect, Fabric Data Engineer
Proactive Technology ManagementPosted 10/22/2026full-timeFerndale • Michigan • United StatesSenior💰 $100,000 - $125,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing ETL/ELT pipelines within a medallion architecture, utilizing advanced data modeling techniques and tools such as Power BI, DAX, and SQL. Proven ability to collaborate with cross-functional teams to define data needs and deliver impactful business intelligence solutions.
Highest-signal resume keywords
ETL/ELT Pipeline DesignMedallion Architecture ExpertisePower BI and DAX ProficiencySQL Database OptimizationSpark Python Programming
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Lead the design and implementation of ETL/ELT pipelines within a medallion architecture (Bronze, Silver, and Gold layers)
- Architect and develop advanced data models using domain-driven design principles and ubiquitous language
- Design and implement star and snowflake schemas and medallion schema practices
- Create dynamic, user-centric Power BI dashboards and advanced reports
- Use DAX and Power Query M for sophisticated calculations and transformations
- Build and optimize SQL-based database, query, and data integration solutions
- Use Spark Python for large-dataset processing and advanced analytics
- Collaborate with business leaders and cross-functional teams to define data needs and KPIs
- Stay informed on data engineering, business intelligence, and analytics advancements
- Mentor team members 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
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
ETL/ELT Pipeline DesignData ModelingStar SchemaSnowflake SchemaPower BIDAXPower Query MSQLSpark PythonDomain-Driven Design
Soft Skills
Problem-SolvingAttention to DetailCollaborationLeadershipCommunication
Tools & Technologies
Azure Data FactoryAzure Synapse AnalyticsMicrosoft Fabric
Certifications & Qualifications
Bachelor’s Degree in Computer ScienceMaster’s Degree in Data ScienceAdvanced Certifications in Data Engineering
Industry Keywords
Business IntelligenceData EngineeringData WarehousingAnalyticsEnterprise-Grade Solutions