Solutions Architect - Data Visualization
Summary
Senior client-facing architect designing enterprise Power BI and Microsoft Fabric solutions to turn complex data into actionable insights, including semantic models, security, governance, and AI-readiness.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Solutions Architect - Data Visualization based in the United States.
This is a senior, client-facing architecture role focused on helping organizations turn complex data into trusted, actionable insights.
You’ll lead enterprise data visualization strategy, architecture, and delivery, with a strong emphasis on Power BI and Microsoft Fabric.
The role combines hands-on technical expertise with executive advisory work, discovery workshops, design reviews, and strategic consulting.
You’ll shape semantic models, reporting architectures, security frameworks, accessibility standards, and governed self-service analytics at scale.
You’ll also help organizations prepare their analytics environments for modern AI-assisted experiences and trustworthy reporting.
Working across business stakeholders, analysts, data engineers, technical teams, and leadership, you’ll guide solutions from strategy through implementation.
This is an opportunity to influence enterprise analytics practices while solving complex problems in a collaborative, technology-focused environment.
Accountabilities
- Serve as a lead subject matter expert in enterprise data visualization, reporting architecture, semantic modeling, human-centered design, and analytics adoption.
- Lead discovery workshops, analytics maturity assessments, roadmap engagements, and executive strategy sessions to define business needs, measurement priorities, and desired outcomes.
- Design enterprise reporting architectures covering semantic models, workspace and application structures, certification and endorsement models, reusable standards, and governed self-service capabilities.
- Architect and oversee Power BI implementations, including semantic models, Power Query transformations, DAX calculations, composite and Direct Lake models, and performance optimization for large-scale environments.
- Design security and access architectures, including row-level and object-level security, that support internal and external users while maintaining a manageable reporting environment.
- Guide integration between Power BI and broader data ecosystems, including Microsoft Fabric, OneLake, Azure Data Services, and upstream data engineering initiatives.
- Act as a trusted technical advisor to executives, business leaders, analysts, and technical stakeholders, translating business objectives into scalable analytics solutions.
- Lead design reviews and enablement initiatives that help clients sustain, extend, and govern solutions after project delivery.
- Establish enterprise reporting standards covering visual design, accessibility, templates, interaction patterns, documentation, and reusable design systems aligned with applicable accessibility standards.
- Define quality practices for analytics delivery, including semantic model reviews, performance testing, documentation, version control, and deployment pipelines.
- Develop reusable visualization accelerators, delivery assets, and AI-enabled delivery practices based on engagement experience.
- Advise clients on analytics readiness for Microsoft 365 Copilot and AI-assisted reporting, including semantic model quality, metadata, naming conventions, documentation, and governance.
- Diagnose root causes of unsuccessful reporting initiatives, such as unclear business requirements, unreliable data, ineffective design, or unsustainable architecture, and recommend practical solutions.
- Build strong relationships across client organizations while promoting long-term adoption, trust, and business value rather than focusing solely on delivering technical artifacts.
- Bachelor’s degree in Analytics, Information Design, Information Systems, Computer Science, a related technical field, or equivalent professional experience.
- 5+ years of experience delivering enterprise analytics, business intelligence, or data visualization solutions, with substantial experience in Power BI.
- Hands-on experience implementing Power BI at enterprise scale, including dimensional modeling, semantic model design, Power Query, DAX, Tabular Editor, and performance tuning.
- Demonstrated experience designing enterprise reporting architectures, including security, workspace, governance, certification, and endorsement models.
- Strong experience leading customer-facing consulting engagements, executive workshops, design reviews, and strategic advisory initiatives.
- Demonstrated experience with Microsoft Fabric, Power BI, and Direct Lake semantic models.
- Practical understanding of human-centered design, information design, and accessibility principles as applied to enterprise reporting.
- Knowledge of data engineering and data governance architectures and their relationship to analytics and visualization solutions.
- Excellent communication, facilitation, presentation, and stakeholder-management skills, with the ability to explain technical trade-offs to both technical and non-technical audiences.
- Strong problem-solving abilities and the confidence to challenge requirements when a requested report or solution will not effectively address the underlying business need.
- Ability to work independently while collaborating effectively with sales, delivery, engineering, and leadership stakeholders.
- Willingness and ability to travel periodically to partner, customer, or other business locations as needed.
- Commitment to continuous learning across data visualization, analytics, AI, and cloud platforms.
- Strong ethical standards and disciplined adherence to data privacy, governance, compliance, and security requirements.
- Preferred experience includes custom Power BI visual development using Deneb, Vega-Lite, or similar frameworks.
- Familiarity with Azure Databricks, Azure Lakehouse architectures, Microsoft Purview, data cataloging, lineage, Azure DevOps, GitHub, Infrastructure as Code, and CI/CD practices is advantageous.
- Experience supporting Microsoft 365 Copilot analytics enablement, analytics centers of excellence, champion programs, or author communities is a plus.
- Experience working in regulated sectors such as healthcare, financial services, insurance, manufacturing, or the public sector is desirable.
- Estimated annual compensation of $160,000–$215,000, including base salary and bonus.
- Compensation determined based on job-related knowledge, skills, experience, and market location.
- Remote work opportunity within the United States.
- Medical, dental, and vision benefits.
- 401(k) retirement plan.
- Flexible Spending Account (FSA) options.
- Opportunity to work on enterprise-scale analytics, data visualization, and AI-readiness initiatives.
- Continuous professional growth and exposure to modern data and analytics technologies.
- Client-facing opportunities involving executive stakeholders, technical teams, and diverse industries.
- Opportunity to contribute to reusable analytics standards, accelerators, and delivery practices.
- Inclusive environment committed to equal employment opportunity and professional development.
- Technology and workplace resources designed to support effective work in remote and office environments.
Requirements
Benefits
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
#LI-CL1