The Role
The Inviso Architect is a senior technical leader who partners with clients and internal teams to design, scope, and deliver modern data and AI solutions on Microsoft Azure. The Architect owns engagements end-to-end, ensuring technical quality, customer satisfaction, and delivery excellence.
The Architect translates client business goals into scalable, governed Azure, Microsoft Fabric, and Databricks solutions and leads the teams that implement them.
As a Microsoft Solutions Group (MSG) technology leader, the Architect supports presales, proposals, statements of work, and complex delivery, reporting to the Practice Lead.
This 100% remote role, working in the US requiring US time-zone availability.
Key Activities for this Role
- Lead discovery, architecture, design, and delivery of Azure, Microsoft Fabric, and Databricks solutions through production deployment.
- Own technical presales, solution design, proposals, scope definition, statements of work, and client presentations.
- Define scalable data-platform architectures, engineering patterns, CI/CD standards, and governance frameworks.
- Guide Data Engineers and Consultants by assigning work, reviewing deliverables, mentoring team members, and maintaining quality standards.
- Partner with client leaders to align technical solutions with business outcomes and communicate progress, risks, and decisions.
- Manage milestones, risks, budgets, customer satisfaction, and delivery outcomes while helping evolve Inviso’s cloud offerings and methods.
Experience & Skills Required:
- 8+ years designing, architecting, and delivering Microsoft data and analytics solutions, including end-to-end Azure, Fabric, or Databricks implementations.
- Strong PySpark, SQL, Python, ETL/ELT, and software/data-engineering skills.
- Experience with scalable lakehouse architectures, medallion models, and Data Vault or dimensional modeling.
- Knowledge of Azure Data Factory, Azure SQL, Azure Storage, Azure Data Lake Storage, and related services.
- Experience with CI/CD automation using Azure DevOps and GitHub, plus performance, cost, and production governance practices.
- Experience leading project teams, evaluating deliverables, supporting technical sales and scoping, and communicating effectively in written and spoken English.
Desired Qualifications
- Microsoft Cloud certifications in Fabric, Azure Data Engineering, or Azure Architecture preferred.
- Bachelor’s degree in a related field and experience with production AI/ML or enterprise data modernization preferred.
Compensation
At Inviso, we believe great talent should be rewarded with competitive pay, meaningful benefits, and room to grow. OTE pay for this role ranges from $180,000 to $230,000 annually with an 80/20 base/bonus ratio), reflecting the cost of labor across multiple US geographic markets. Beyond base pay, we offer a strong benefits package that includes medical, dental, and vision insurance, a 401(k) plan with company match, annual training reimbursement, paid time off, paid holidays, and additional perks designed to support your well-being and long-term success.
Why You’ll Love Working at Inviso
- Do work that matters. We are a global technology and business consulting firm that helps organizations implement AI, modern data platforms, and digital marketing strategies.
- Work somewhere people choose to stay. Our low attrition, strong average tenure, and employees who have spent 10, 15, or even 20 years with Inviso speak volumes about our culture and how we care for our people.
- Bring your ideas and be heard. You will join a collaborative, people-first environment where ideas matter, contributions are recognized, and excellent work creates real opportunities for growth.
- Keep learning and growing. Inviso invests in employees through continuous learning, mentorship, collaboration, and career development across a diverse global organization.
- Join a company with deep industry credibility. Inviso has worked closely with Microsoft for more than 20 years and is proud to be a top-rated supplier and Managed Partner with numerous credentials.
