Perficient's Microsoft Cloud Business Unit is investing heavily in Microsoft Fabric services and governance offerings. We are seeking a Solutions Architect, Microsoft Fabric to serve as the senior technical authority for our Fabric practice.
In this role, you will define the strategic roadmap for Fabric based data platform services, lead enterprise engagements spanning capacity migration, Purview driven governance, and tenant wide adoption, and partner with sales and alliance teams to shape pursuits and craft SOWs. You will also mentor a distributed team of architects, engineers, and analysts while building out Perficient's Fabric center of excellence. Candidates with broader Azure cloud platform experience, particularly in governance, landing zones, and IAM, are a strong plus.
Technical Delivery & Solution Architecture
Design and lead enterprise Microsoft Fabric migrations and implementations, from architecture through delivery
Serve as the senior technical authority on Fabric engagements, setting direction on architecture and best practices
Lead discovery and assessment workshops to define current state, pain points, and target architecture
Produce architecture diagrams, roadmaps, and release plans that guide phased delivery
Guide agile delivery teams through sprint planning, backlog grooming, and iterative releases
Remove technical impediments, manage delivery risk, and uphold quality through design reviews
Define reusable architecture patterns, standards, and templates that scale across client engagements
Presales & Consulting
Partner with sales and account teams to shape and scope new Fabric pursuits
Develop level of effort estimates, staffing models, and SOW language for proposals
Build POVs, prototypes, and demos that showcase Fabric capabilities to prospective clients
Deliver client facing presentations and technical positioning alongside Microsoft account teams
Support contract and pricing conversations with technical input and solution recommendations
Participate in executive briefings and industry events to represent the practice
Internal Enablement & Practice Growth
Mentor and coach architects, engineers, and analysts across the Fabric practice
Contribute to internal training paths, playbooks, and reusable IP that raise delivery quality
Track the Microsoft roadmap and emerging Fabric capabilities, recommending how offerings should evolve
Capture lessons learned from engagements and feed them back into templates and methodology
Identify opportunities to improve delivery processes, tooling, and team effectiveness
Required
10 to 15 years architecting enterprise data analytics solutions, with 5 or more years delivering Azure based modern data platforms
Deep, hands-on mastery of Microsoft Fabric, including Data Engineering, Data Factory, Data Warehouse, Real-Time Analytics, and Power BI
Proven track record designing tenant level governance frameworks, including workspace management, capacity planning, and security
Successful leadership of at least 5 full lifecycle Fabric, Synapse, or Databricks modern data platform programs, from discovery through optimization
Consulting experience: presales estimation, SOW creation, team structure definition, and executive level presentations
Strong grasp of Microsoft Cloud Adoption Framework, Well-Architected Framework, and data governance best practices
Exceptional written and verbal communication skills for both technical and executive audiences
Experience mentoring globally distributed teams and cultivating practice communities
Required certification: DP-600 Fabric Analytics Engineer Associate
Bachelor's degree in Computer Science, Information Systems, or a related field (Master's preferred)
Preferred / Nice to Have
Additional Fabric certifications, such as DP-700 Fabric Data Engineer Associate or PL-300 Power BI Data Analyst Associate
Experience migrating from Synapse, Databricks, or legacy BI platforms into Fabric
Familiarity with CI/CD for Fabric assets using Azure DevOps or GitHub Actions
Broader Azure cloud platform experience, including governance, landing zones, and IAM/RBAC
Multi-cloud exposure (AWS, GCP)
Experience in regulated industries such as financial services, insurance, or healthcare
U.S. based remote candidates welcome; willingness to travel up to 25 percent for key workshops and stakeholder sessions
Perficient full-time employees receive complete and competitive benefits. We offer a collaborative work environment, competitive compensation, generous work/life opportunities and an outstanding benefits package that includes paid time off plus holidays. In addition, all colleagues are eligible for a number of rewards and recognition programs including billable bonus opportunities. Encouraging a healthy work/life balance and providing our colleagues great benefits are just part of what makes Perficient a great place to work.
WHO WE ARE
Perficient is a leading global digital consultancy. We imagine, create, engineer, and run digital transformation solutions that help our clients exceed customers’ expectations, outpace competition, and grow their business. With unparalleled strategy, creative, and technology capabilities, our colleagues bring big thinking and innovative ideas, along with a practical approach to help our clients – the world’s largest enterprises and biggest brands succeed.
The salary range for this position takes into consideration a variety of factors, including but not limited to skill sets, level of experience, applicable office location, training, licensure and certifications, and other business and organizational needs. The new hire salary range displays the minimum and maximum salary targets for this position across all US locations, and the range has not been adjusted for any specific state differentials. It is not typical for a candidate to be hired at or near the top of the range for their role, and compensation decisions are dependent on the unique facts and circumstances regarding each candidate. A reasonable estimate of the current salary range for this position is $160,000-190,000. Please note that the salary range posted reflects the base salary only and does not include benefits or any potential variable compensation programs. Information regarding the benefits available for this position are in our benefits overview.
WHAT WE BELIEVE
At Perficient, we promise to challenge, champion, and celebrate our people. You will experience a unique and collaborative culture that values every voice. Join our team, and you’ll become part of something truly special.
We believe in developing a workforce that is as diverse and inclusive as the clients we work with. We’re committed to actively listening, learning, and acting to further advance our organization, our communities, and our future leaders… and we’re not done yet.
Perficient, Inc. proudly provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a protected veteran in accordance with applicable federal, state and local laws. Perficient, Inc. complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Perficient, Inc. expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or covered veterans. Improper interference with the ability of Perficient, Inc. employees to perform their expected job duties is absolutely not tolerated.
Disability Accommodations:
Perficient is committed to providing a barrier-free employment process with reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or accommodation due to a disability, please contact us.
Disclaimer: The above statements are not intended to be a complete statement of job content, rather to act as a guide to the essential functions performed by the employee assigned to this classification. Management retains the discretion to add or change the duties of the position at any time.
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About UsPerficient is the global AI and technology consulting firm disrupting the traditional consulting model. Powered by our 7,000+ advisors, engineers, and designers, Perficient implements AI-first solutions that break conventions and deliver outcomes that matter. Proudly serving clients that represent the world’s most innovative brands, and in collaboration with our powerful technology partner ecosystem, we bring deep industry expertise and data-driven design to redefine how businesses run and succeed. Perficient is different. For real. Learn more at perficient.com.
Skills Required
- 10 to 15 years of experience architecting enterprise data analytics solutions
- At least 5 years delivering Azure-based modern data platforms
- Hands-on mastery of Microsoft Fabric, including Data Engineering, Data Factory, Data Warehouse, Real-Time Analytics, and Power BI
- Experience designing tenant-level governance frameworks covering workspace management, capacity planning, and security
- Leadership of at least five full-lifecycle Fabric, Synapse, or Databricks modern data platform programs
- Consulting experience with presales estimation, SOW creation, team structure definition, and executive presentations
- Knowledge of the Microsoft Cloud Adoption Framework, Well-Architected Framework, and data governance best practices
- Exceptional written and verbal communication skills for technical and executive audiences
- Experience mentoring globally distributed teams and cultivating practice communities
- DP-600 Fabric Analytics Engineer Associate certification
- Bachelor’s degree in Computer Science, Information Systems, or a related field
- Master’s degree
- Additional Fabric certifications, such as DP-700 or PL-300
- Experience migrating from Synapse, Databricks, or legacy BI platforms into Fabric
- Familiarity with CI/CD for Fabric assets using Azure DevOps or GitHub Actions
- Broader Azure experience in governance, landing zones, and IAM/RBAC
- Multi-cloud experience with AWS or GCP
- Experience in regulated industries such as financial services, insurance, or healthcare
- Willingness to travel up to 25% for workshops and stakeholder sessions
Perficient Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Perficient and has not been reviewed or approved by Perficient.
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Retirement Support — Retirement offerings are positioned as robust, including a 401(k) with company match, an Employee Stock Purchase Plan, and an option for after-tax contributions (mega backdoor Roth). Eligibility details are described as clear for core benefits, supporting confidence in plan access timing.
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Parental & Family Support — Parental benefits are described as structured, with paid maternity recovery time and paid parental leave for all new parents. Company-paid disability coverage is also highlighted, strengthening the overall family support posture.
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Fair & Transparent Compensation — Compensation is characterized as generally market-aligned for a portion of roles, with examples of pay being viewed as fair or decent in certain contexts (such as remote or region-specific situations). Variable pay potential appears stronger in some tracks, improving perceived competitiveness for those roles.
Perficient Insights
What We Do
Perficient is a leading global digital consultancy. We imagine, create, engineer, and run digital transformation solutions that help our clients exceed customers’ expectations, outpace competition, and grow their business. With unparalleled strategy, creative, and technology capabilities, we bring big thinking and innovative ideas, along with a practical approach to help the world’s largest enterprises and biggest brands succeed.
