Data ArchitectLocation: Atlanta, GA (Onsite)Duration: Full-timeJob Description:Must Have Technical/Functional SkillsMust work on technology Cloud Modernization/Transformation program involving AWS Databricks.12+ years in data architecture with at least 2 projects involving AWS Databricks.Strong experience in large-scale cloud data modernization programsStrong experience in Data ArchitectureExperience in AWS (S3, Glue, Lambda, Step Functions, Athena)Strong experience in Databricks (Delta Lake, Unity Catalog)Strong experience in Data modeling (Datawarehouse + Lakehouse)Experience in Integration architecture & governance frameworksRoles & ResponsibilitiesDefine target data architecture (Lakehouse/Data Platform) including ingestion, processing, storage, and consumption layersDesign scalable, fault-tolerant, and high-performance solutions on AWSEstablish data integration patterns and architecture standardsDrive data governance, data federation, security, and compliance frameworksLead POCs and architectural validations for critical requirementsCollaborate with business stakeholders to translate requirements into solution designGuide engineering teams on best practices and platform optimizationDefine cutover strategy: Dual-run / shadowing approach, Zero-downtime migration, Rollback mechanismsEnsure architecture meets: High throughput and low latency requirements, Horizontal scalability, Fault tolerance and resiliencyExperience in AWS services like Lambda, SQS, Event Bridge, SNS, Step function, EKS, S3 etc.Identify and mitigate risks related to: Migration complexity, Dependency management, Performance bottlenecks, Data integrityDefine contingency plans for: Rollbacks, Failure scenarios. Ensure production readiness across all waves.