Start searching
Back to Jobs
Recently postedRemoteTechnology

Senior Microsoft Azure Solution Architect – Data, AI & Integration | Contract | Remote (Indianapolis, IN)

Anagha Techno SoftUnited States🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeRemote
LocationUnited States
Stakeholder ManagementMicroservicesSQLGitMLOpsSnowflakeC#DatabricksGitHub ActionsPythonTerraformGenerative AIRESTAzureNode.jsTypeScriptMachine LearningCI/CDAzure DevOpsAzure Data FactoryRAG

Job description

Senior Microsoft Azure Solution Architect – Data, AI & Integration | Contract | Remote (Indianapolis, IN)
Senior Microsoft Azure Solution Architect – Data, AI & Integration
Location: Remote (Indianapolis, IN)
Employment Type: Contract
Experience: 12+ Years (15+ Years Preferred)
Working Hours: Eastern Time (EST/EDT)
Work Arrangement: Primarily remote with occasional onsite visits to Indianapolis, IN
Job Summary
We are seeking an experienced Senior Microsoft Azure Solution Architect – Data, AI & Integration to lead the design and delivery of enterprise-scale cloud, data engineering, and Generative AI solutions using the Microsoft Azure ecosystem.
The ideal candidate will have strong hands-on expertise in Microsoft Fabric, Azure Databricks, Azure OpenAI / Microsoft Foundry, enterprise data architecture, and application integration.
This role will lead end-to-end solution architecture, including cloud infrastructure sizing, data platform modernization, Snowflake-to-Azure migration, AI solution development, and enterprise application integration.
The candidate will serve as a technical architecture lead, working directly with business stakeholders, engineering teams, and delivery leadership to ensure successful implementation of scalable, secure, and cost-effective solutions.
Key Responsibilities
1. Azure Data Engineering & Architecture
  • Design enterprise data platforms using Microsoft Fabric, Azure Databricks, ADLS Gen2, Azure SQL, and Synapse Analytics.
  • Architect batch and real-time data pipelines using Azure Data Factory, Fabric Data Factory, Event Hubs, and Stream Analytics.
  • Establish data modeling, lakehouse, medallion architecture, governance, and data quality standards.
  • Implement data security and governance using Microsoft Purview and Entra ID.
2. Generative AI & Microsoft Foundry
  • Architect and deploy enterprise Generative AI and Machine Learning solutions using Microsoft Foundry and Azure OpenAI.
  • Design RAG-based solutions using Azure AI Search, embeddings, and vector databases.
  • Develop AI agents, prompt flows, and intelligent enterprise applications.
  • Establish MLOps / LLMOps practices covering deployment, evaluation, monitoring, and cost optimization.
  • Implement Responsible AI, security, and governance practices.
3. Snowflake-to-Azure Migration
  • Assess existing Snowflake environments and develop migration strategies to Microsoft Fabric, Azure Databricks, or Azure SQL.
  • Lead migration planning, SQL conversion, data validation, reconciliation, and cutover activities.
  • Evaluate performance, scalability, and cost optimization opportunities.
4. Application Development & Integration
  • Architect enterprise applications using Azure App Service, Azure Functions, Container Apps, and AKS.
  • Design REST APIs, microservices, and event-driven integration solutions.
  • Implement API management and enterprise integrations using Azure API Management, Logic Apps, Service Bus, and Event Grid.
  • Integrate AI and data capabilities into business applications and enterprise platforms.
5. Cloud Architecture, Infrastructure & DevOps
  • Apply Azure Well-Architected Framework and Cloud Adoption Framework principles.
  • Define infrastructure-as-code standards using Terraform and Bicep.
  • Establish CI/CD pipelines using Azure DevOps and GitHub Actions.
  • Lead infrastructure sizing, capacity planning, high availability, disaster recovery, and cloud security.
  • Develop Azure cost estimates, TCO models, and FinOps strategies.
6. Technical Leadership & Stakeholder Management
  • Lead technical discovery, architecture workshops, and solution design discussions.
  • Own end-to-end technical architecture and delivery decisions.
  • Provide technical guidance and mentorship to engineering teams.
  • Communicate architecture decisions and technical recommendations to business and technical stakeholders.
  • Support technical proposals, solution estimations, and enterprise modernization initiatives.
Required Qualifications
  • 12+ years of overall IT experience, with 5+ years in Microsoft Azure solution or cloud architecture.
  • Strong enterprise data architecture experience with Microsoft Fabric, Azure Databricks, Synapse, or Azure Data Factory.
  • Proven experience implementing production Generative AI solutions using Azure OpenAI or Microsoft Foundry.
  • Strong knowledge of RAG, Azure AI Search, embeddings, vector databases, and AI agents.
  • Demonstrated experience with Snowflake and enterprise data migration to Azure.
  • Strong understanding of Azure infrastructure, networking, security, capacity planning, and cost optimization.
  • Hands-on experience with REST APIs, API Management, microservices, and enterprise integration patterns.
  • Strong SQL and Python skills, with working knowledge of C#/.NET or Node.js/TypeScript.
  • Experience with Terraform, Bicep, Azure DevOps, or GitHub Actions.
  • Excellent communication, stakeholder management, and technical leadership skills.
Preferred Qualifications
  • 15+ years of overall IT experience.
  • Microsoft Azure Solutions Architect Expert (AZ-305).
  • Azure AI Engineer Associate (AI-102).
  • Microsoft Fabric certifications (DP-700 / DP-600).
  • Previous Microsoft or Microsoft Partner ecosystem experience.
  • Experience with supply chain analytics, demand forecasting, inventory optimization, or SAP/ERP integration.
  • Knowledge of Semantic Kernel, AutoGen, Foundry Agent Service, and MCP.
  • Experience in manufacturing, healthcare, life sciences, or other regulated industries.
  • Experience managing onshore/offshore delivery teams.
Work Authorization & Location Requirements
  • Must be authorized to work in the United States or Canada without current or future visa sponsorship.
  • Must be available to work Eastern Time business hours.
  • Must be able to attend occasional onsite meetings in Indianapolis, IN.
  • Candidates residing within commuting distance of Indianapolis are preferred.
Ideal Candidate Profile
An experienced, hands-on Microsoft Azure Enterprise Architect who combines deep expertise in Data Engineering, Generative AI, Snowflake migration, cloud infrastructure, and enterprise application integration with strong client-facing architecture and technical leadership capabilities.

Similar jobs

Apply