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Data Architect – FDE | Hartford, CT Minneapolis, MN


Job Location:

Minneapolis, MN - USA

Hourly Salary: USD 70 - 70
Posted: 19 September 2026 (Yesterday)
Application Deadline: 17 December 2026
Vacancies: 1 Vacancy

Job Summary

Hello

We have a new requirement with Virtusafor a Data Architect FDE. Please review the details below and start sourcing qualified candidates.

Job Title:Data Architect FDE
Client:Virtusa
Location:Hartford CT / Minneapolis MN Onsite
Experience: 12 Years
Employment Type:Contract
Cloud Ecosystem: Microsoft Azure
Visa: H1B C2C
Rate: $70/hr



About the Role
We are looking for a highly hands-on Data Architect with Forward Deployed Engineering (FDE) capabilitiesto solve complex enterprise data problems within a Microsoft Azure environment.
This is not a purely conceptual architecture position. The candidate will work directly with business product data and engineering stakeholders to understand complex and sometimes ambiguous problems investigate existing systems and data design appropriate solutions and remain closely involved through implementation and production deployment.
The ideal candidate should combine enterprise-level architecture expertise with strong hands-on engineering capabilities.
Key Responsibilities
  • Work directly with business and technical stakeholders to understand complex data and technology problems.
  • Translate ambiguous business requirements into actionable architecture and engineering solutions.
  • Understand existing data ecosystems applications integrations data flows and constraints.
  • Define target-state architectures for enterprise data solutions.
  • Architect scalable solutions using Azure Databricks ADLS ADF Microsoft Fabric/Synapse and related Azure technologies.
  • Define Lakehouse Delta Lake batch streaming and analytical architecturepatterns.
  • Remain hands-on with Python PySpark SQL Databricks and data engineering.
  • Develop or guide rapid prototypes to validate architecture decisions.
  • Define ingestion transformation storage consumption API and integration patterns.
  • Architect solutions spanning data platforms APIs applications analytics and AI/ML consumers.
  • Define logical and physical data models.
  • Establish standards for data quality metadata lineage security governance and observability.
  • Design for scalability resiliency performance security and cost optimization.
  • Conduct architecture design and code reviews.
  • Troubleshoot complex cross-platform technical issues.
  • Provide technical direction and hands-on guidance to Data Engineers and FDE teams.
  • Partner with AI/ML DevOps security product and application engineering teams.
  • Own technical outcomes from problem discovery through production implementation.
Required Qualifications
  • 10 yearsof progressive Data Engineering/Data Architecture experience.
  • Strong Microsoft Azure architectureexperience.
  • Hands-on experience with Azure Databricks.
  • Strong Python and PySparkskills.
  • Advanced SQL.
  • ADLS Gen2.
  • Azure Data Factory (ADF).
  • Lakehouse and Delta Lake architecture.
  • Data modeling.
  • ETL/ELT and distributed data processing.
  • API and enterprise integration architecture.
  • CI/CD and modern engineering practices.
  • Data security governance metadata lineage and data quality.
  • Experience architecting enterprise-scale data platforms.
  • Strong stakeholder-facing communication and technical leadership.
  • Ability to move between architecture discussions and hands-on technical problem solving.
Preferred Qualifications
  • Microsoft Fabric.
  • Azure Synapse.
  • Unity Catalog.
  • Event Hubs/Kafka.
  • AKS/Kubernetes.
  • Terraform/IaC.
  • Azure OpenAI / AI Foundry exposure.
  • Healthcare data/platform experience.
  • Consulting customer-facing engineering or Forward Deployed Engineeringexperience.
Important Submission Guidelines
  • H1B candidates on C2C only.
  • Rate: $70/hr C2C.
  • Candidate must be comfortable working onsite in Hartford CT or Minneapolis MN.
  • Please prioritize candidates who are hands-on architectsand can contribute directly to engineering and implementation.
  • Purely conceptual/enterprise architecture profiles without strong hands-on Azure data engineering experience will not be a good fit.
  • Strong experience with Azure Databricks Python PySpark SQL ADLS Gen2 ADF Lakehouse and Delta Lakeis required.
  • Please ensure candidates closely match the technical requirements before submission.

Required Experience:

Senior IC


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