We’re partnering with a Metro Atlanta-based organization to permanent a Data Architect with strong MuleSoft and modern data platform experience. This is a hands-on architecture role focused on building scalable integration and data solutions across the enterprise. You’ll work closely with engineering, analytics, and business teams to design and deliver secure, scalable, and reliable data flows that support enterprise-wide decision-making. <br> What You’ll Be Doing Design and build API-led integration solutions using MuleSoft Anypoint Platform Develop and maintain scalable data architecture and Data Fabric solutions Create and manage APIs, integration flows, and system-to-system connectivity Work with cloud and on-prem environments to ensure seamless data movement Design and optimize data pipelines and transformation workflows using: SQL PySpark / Spark Data engineering best practices Support real-time analytics, BI, and operational reporting Enforce API lifecycle governance (versioning, security, access control) Ensure data quality, lineage, governance, and compliance standards Build proof of concepts (PoCs) to validate integration approaches Collaborate with IT, analytics, and business stakeholders across the organization

What We’re Looking For 8+ years in data architecture, data engineering, or integration roles 5+ years hands-on experience with: MuleSoft / Mule ESB / Anypoint Platform Strong experience with: API design (REST, SOAP, XML, SOA) SQL and data modeling ETL / data transformation workflows Experience with data platforms / Fabric / Lakehouse environments Cloud experience: Azure, AWS, or GCP Strong understanding of data governance, security, and compliance Ability to work in complex, enterprise-scale environments Strong communication and stakeholder collaboration skills MuleSoft certification is a plus

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