Senior Full-Stack BI Architect / Fabric Data Engineer

Proactive; Ferndale (MI); Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Comprehensive health, dental, and/or視s

401(k) retirement plan with company‑s

Job summary

Proactive Technology Management seeks a Senior Full-Stack BI Architect / Fabric Data Engineer to design enterprise-grade data solutions with a human-centric approach. You will drive medallion architecture, data modeling, and visualization using Power BI and the Microsoft Cloud Data Stack.

You will lead ETL/ELT pipelines, develop dimensional schemas, and collaborate with stakeholders to define KPIs. Remote-friendly, senior-level opportunity with mentorship and growth.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science or related field.
• 7+ years of experience in data engineering, BI architecture, or related role.
• In-depth expertise in medallion architecture, data modeling and data warehousing best practices.
• Proven ability to implement domain-driven design principles with ubiquitous language.

Responsibilities

• Lead design and implementation of ETL/ELT pipelines within a medallion architecture (Bronze, Silver, Gold) for quality, scalability and accessibility across use cases.
• Architect and develop advanced data models reflecting domain-driven design, aligning with business domains and ubiquitous language.
• Design and implement star and snowflake schemas and medallion schema practices for flexible analytics structures.
• Create dynamic, user-centric dashboards and advanced reports in Power BI with real-time insights.
• Leverage DAX and Power Query M for sophisticated calculations and transformations.
• Build and optimize SQL-based solutions for data management, queries and integration.
• Use Spark Python for processing large datasets and advanced analytics.
• Collaborate with leaders to define KPIs and align with organizational goals.
• Stay updated on data engineering and BI trends to drive innovation.
• Mentor team members in BI and data engineering best practices.

Skills

Medallion architecture

Domain-driven design

Ubiquitous language

Data modeling (star/snowflake)

Power BI

DAX

Power Query M

SQL

Spark Python

Microsoft Fabric

Azure Data Factory

Azure Synapse Analytics

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science

Tools

Excel

Job description

About Us

At Proactive Technology Management,we'retransforming howbusinesses harness data to drive innovation and informed decision-making. As leaders in the SMB space, weleveragecutting-edgetechnologies to deliver actionable insights that give our clients a competitive advantage.We'reseeking aSenior Full-Stack BI Architect / Fabric Data Engineerto 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 designthrough the use ofubiquitous language and domain-driven principles.You willleveragedeepexpertisein medallion architecture, advanced data modeling, and visualization to ensure our clients receive intuitive, actionable insights. Your technicalexpertisein 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 amedallion architecture(Bronze, Silver, andGoldlayers) to ensure data quality, scalability, and accessibility across use cases.

• Architect and develop advanced data models that reflectdomain-driven design principles, aligning with business domains and usingubiquitous languageto ensure clarity and usability for all stakeholders.

• Design and implement star and snowflake schemas, along withmedallion 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 andoptimizeSQL-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.

Qualifications

• Bachelor’s orMaster’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-depthexpertiseinmedallion architecture, data modeling (star schemas, snowflake schemas), and best practices for data warehousing.

• Proven ability to implementdomain-driven design (DDD)principles, ensuring data solutions reflect business domains and are accessible through ubiquitous language.

• Expert-levelproficiencyin Power BI, DAX, Power Query M, and SQL, withdemonstratedsuccess 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 recordof 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 communicationand leadership skills, with a focus on collaboration and stakeholder engagement.

• Competitive compensation tailored to senior-levelexpertise.

• 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