Unstructured Data Platform Solution Engineer

Manifest Solutions is currently seeking a Senior Solution Engineer for an onsite position in Gahanna, OH.No C2C; No Third Parties - Applicants OnlyDesign scalable cloud-native solutions supporting enterprise unstructured data workloads.Define reference architectures, patterns, and standards for platform capabilities.Develop technology roadmaps aligned to business and platform strategy.Ensure solutions meet security, reliability, scalability, and operational requirements.Translate business requirements into technical solution designs.Design and implement reusable ingestion services supporting: APIs, Batch processing, File transfer, Event-driven architectures, External partner integrationsCreate onboarding patterns for new data sources.Establish metadata capture standards during ingestion.Support integration of internal and external data providers.Build and support cloud-based platform services.Implement Infrastructure-as-Code (IaC) practices.Develop automation for deployment, provisioning, and platform operations.Support monitoring, observability, operational health, and performance optimization.Participate in platform support and incident response activities.Design metadata structures and data discovery capabilities.Support implementation of: Metadata catalogs, Data lineage, Search and discovery, Data classification, Retention policiesPartner with governance and security teams to ensure compliance requirements are met.Integrate annotation and human-review services into platform workflows.Support AI/ML lifecycle activities including: Ground-truth data management, Defect taxonomy management, AI feedback capture, Model output integrationEnable AI metadata storage and retrieval patterns.Design workflows that combine automation and human review.Support implementation of inspection and validation processes.Enable business users to review, correct, and enrich AI-generated results.Ensure traceability and auditability of user actions.Implement CI/CD pipelines and deployment automation.Apply security controls throughout the platform lifecycle.Automate testing, monitoring, and operational processes.Support resiliency, backup, recovery, and operational readiness activities.Required QualificationsBachelor's degree in: Computer Science, Engineering, Information Systems or Related technical discipline5+ years of solution engineering, software engineering, platform engineering, or cloud engineering experience.Experience designing distributed cloud-native architectures.Experience with API design and system integrations.Experience working with enterprise data platforms.Experience implementing automation and DevOps practices.Experience translating business requirements into technical solutions.Experience with one or more: AWS, Azure, Google Cloud PlatformExperience with:Object storage platformsData ingestion frameworksEvent-driven architecturesModern API technologiesCI/CD toolingInfrastructure as Code