IT Data ArchitectRemote/Hybrid, what state? Located in Atlanta (Hybrid in office 3 days a week) Locals preferredRole PurposeWe are seeking an experienced IT Data Architect to define and guide the enterprise-wide data strategy across cloud and on-premise ecosystems. This role will provide architectural leadership to Agile delivery teams, ensuring scalable, secure, and high-quality data solutions aligned with business and technology goals.The Data Architect will establish architectural standards, governance frameworks, and design principles that ensure consistency, performance, and compliance across all data platforms and integrations.Key ResponsibilitiesDefine and lead enterprise data architecture strategy across cloud and hybrid environmentsDesign scalable data ecosystems across AWS, Google Cloud, Salesforce, and on-premise platformsEstablish architecture standards for data integration, ETL pipelines, data modeling, and governanceDevelop and maintain data architecture artifacts including data flows, logical and physical modelsLead architecture design for large-scale, multi-system, multi-vendor initiativesEvaluate and guide migration strategies to modern cloud-based data platformsEnsure alignment of architecture with security, compliance, and data residency requirementsCollaborate with engineering, analytics, and business teams to deliver end-to-end data solutionsAssess technical feasibility, performance, scalability, and cost optimization of solutionsPromote architectural best practices across Agile delivery teamsStay current with emerging technologies in data, cloud, AI, and analyticsRequired Experience10+ years of overall IT experience with strong exposure to multiple technologies3–5 years of hands-on experience as a Data Architect or Lead Data ArchitectStrong background in designing enterprise-scale data platforms and architecturesExperience working in Agile, Scrum, or Kanban environmentsCore Technical SkillsData Architecture & EngineeringData Warehousing, Data Modeling, and Data Design PrinciplesETL/ELT pipelines and Data Integration frameworksRelational and NoSQL databasesMaster Data Management (MDM)BI and reporting platforms (Tableau, Power BI, Looker)Big Data ecosystems and analytics platformsCloud PlatformsAWS cloud architecture and native servicesGoogle Cloud Platform (BigQuery, Data services)Salesforce ecosystem and data integrationIntegration & MiddlewareAPI design and management (REST, API Gateway)Microservices architectureMessaging systems (Kafka or equivalent)Enterprise integration patterns and caching strategiesAdvanced AreasMachine Learning / AI exposure for analytics solutionsForecasting, demand planning, and decision science conceptsData governance, security, and compliance frameworksLeadership & Soft SkillsStrong stakeholder management and communication skillsAbility to work with senior leadership and cross-functional teamsStrategic thinking with strong problem-solving ability