About The Position

Our client is looking for a highly skilled Senior Azure Developer / Integration Engineer to join their team. The ideal person needs to have excellent demonstrated expertise in Azure services, systems integration with Salesforce ecosystems (including MuleSoft), and data management platforms. This person needs to have robust experience in large-scale data migration projects, Azure Blob Storage architecture, and enterprise document migration solutions. This person will play a crucial part in designing, developing, and implementing integration solutions that connect disparate systems, ensure data integrity, and support business-critical operations.

Requirements

  • 7-10+ years of experience in software development with 6+ years focused on Azure cloud technologies
  • 4-6+ years of hands-on experience with Salesforce integration projects
  • 3-4+ years of experience with MuleSoft Anypoint Platform and API development
  • Established track record of delivering enterprise-scale data migration projects
  • Proven experience with Data360 or other MDM platforms
  • Strong background in Azure Blob Storage architecture and document management solutions
  • Expert-level in Azure services: Azure Functions, Logic Apps, Service Bus, Data Factory, Blob Storage, Cosmos DB, and SQL Database
  • Deep knowledge of Salesforce platform including Apex, SOQL, Lightning components, and Salesforce APIs
  • Excellent MuleSoft development skills including Mule 4, DataWeave 2.x, Anypoint Studio, and CloudHub deployment
  • Proficiency in Data360 or comparable MDM platform configuration, data quality rules, and master data management workflows
  • Experience with programming languages: C#, Python, JavaScript/TypeScript, and Java
  • Thorough understanding of RESTful API design, OAuth 2.0, and enterprise integration patterns
  • Experience with DevOps practices, CI/CD pipelines (Azure DevOps, GitHub Actions), and Infrastructure as Code (ARM templates, Terraform, Bicep)

Nice To Haves

  • Bachelor's or Master's degree in Computer Science, Information Technology, or related field
  • Experience with Azure Cognitive Services and AI/ML integration
  • Knowledge of enterprise content management systems (SharePoint, Documentum)
  • Familiarity with data privacy regulations (GDPR, CCPA) and compliance frameworks
  • Experience leading technical teams and mentoring junior developers
  • Strong project management skills with Agile/Scrum methodology experience
  • Microsoft Certified: Azure Solutions Architect Expert
  • Microsoft Certified: Azure Developer Associate
  • MuleSoft Certified Developer or Integration Architect
  • Salesforce Platform Developer or Integration Architect
  • Informatica Data360 Certification (or equivalent MDM certification)

Responsibilities

  • Design, develop, and maintain Azure-based solutions including Azure Functions, Logic Apps, Service Bus, API Management, and Event Grid
  • Architect and implement Azure Blob Storage solutions for enterprise document management and large-scale data storage
  • Create and enhance Azure Data Factory pipelines for ETL/ELT processes
  • Implement Azure security best practices including Key Vault, Managed Identities, and network security configurations
  • Monitor and optimize Azure resource performance, cost management, and scalability
  • Spearhead complex integration projects connecting Azure services with Salesforce CRM, including Sales Cloud, Service Cloud, and Marketing Cloud
  • Design and implement MuleSoft integration solutions using Anypoint Platform, API-led connectivity, and DataWeave transformations
  • Create RESTful and SOAP-based APIs for data exchange between enterprise systems
  • Configure and maintain middleware solutions ensuring high availability and fault tolerance
  • Troubleshoot integration issues and implement monitoring solutions for proactive system health management
  • Plan, prepare for and execute large-scale data migration projects from legacy systems to Azure cloud infrastructure
  • Implement Data360 solutions for master data management, data quality, and data governance
  • Design data mapping strategies, transformation rules, and validation frameworks
  • Create and maintain data migration scripts, ensuring data integrity and minimal business disruption
  • Establish thorough rollback procedures and disaster recovery plans for migration projects
  • Architect and implement enterprise document migration solutions to Azure Blob Storage
  • Design metadata extraction, classification, and indexing strategies for migrated documents
  • Develop automated workflows for document processing, conversion, and archival
  • Ensure compliance with data retention policies and regulatory requirements
  • Implement document lifecycle management solutions within Azure ecosystem
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