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 Only

• Design 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 integrations
• Create 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 policies
• Partner 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 integration
• Enable 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 Qualifications

• Bachelor's degree in: Computer Science, Engineering, Information Systems or Related technical discipline
• 5+ 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 Platform

Experience with:

• Object storage platforms
• Data ingestion frameworks
• Event-driven architectures
• Modern API technologies
• CI/CD tooling
• Infrastructure as Code