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# Solution Engineer-Unstructured Data Platform

- **Company:** The Hive
- **Location:** Columbus, OH, United States
- **Experience:** Expert
- **Salary:** $124,800
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Computing Platforms, Automation of Tests, Microsoft Azure, Batch Processing, Cloud Computing, Cloud Computing Security, Cloud Engineering, Information Systems, Continuous Integration, Data Discovery, Data Governance, File Transfer, Machine Learning, Metadata, Meta-Data Management, Metadata Repositories, Performance Tuning, Azure Machine Learning, Search Technologies, Software Engineering, Systems Integration, Unstructured Data, Enterprise Data Management, Google Cloud, Data Ingestion, Software Troubleshooting, Infrastructure as Code (IaC), Event Driven Architecture, Information Technology, Data Lineage, Deployment Automation, Data Management, Api Design, Lidar, Devsecops, Human in the Loop
- **Published:** November 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=08401eed70547224

## About the Role

* Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field.
 * 5+ years of experience in solution engineering, software engineering, platform engineering, or cloud engineering.
 * Experience designing and implementing distributed, cloud-native architectures.
 * Hands-on experience with at least one major cloud platform: AWS, Azure, or Google Cloud Platform (GCP).
 * Strong understanding of API development, system integrations, and event-driven architectures.
 * Experience with enterprise data platforms, object storage, and data ingestion frameworks.
 * Experience implementing CI/CD pipelines, Infrastructure as Code, and DevOps automation.
 * Ability to translate business requirements into scalable technical solutions.
 * Strong troubleshooting, problem-solving, and communication skills.
 * Ability to collaborate with Product Owners, Data Engineers, Platform Engineers, Data Scientists, and business stakeholders., * Experience working with unstructured data, including images, documents, video, LiDAR, or sensor data.
 * Familiarity with metadata catalogs, data governance, and data lineage.
 * Experience integrating AI/ML services or supporting AI-enabled data platforms.
 * Knowledge of human-in-the-loop workflows, data annotation, or AI model validation.
 * Experience developing reusable enterprise platform services.
 * Familiarity with monitoring, observability, and cloud security best practices., * Bachelor's (Required), * Solution/software/platform engineering: 5 years (Required)

## Description

We are seeking an experienced, hands-on Solution Engineer to help design, build, integrate, and support an enterprise Unstructured Data Platform. This role will focus on developing scalable, cloud-native solutions that enable efficient data ingestion, storage, management, governance, and AI-driven capabilities., Platform Architecture & Solution Design

 * Design and implement scalable, cloud-native solutions for enterprise unstructured data platforms.
 * Develop technical architectures, standards, and reusable platform components.
 * Translate business requirements into effective technical solutions.
 * Ensure platform solutions meet security, reliability, scalability, and performance requirements.
 * Contribute to technology roadmaps and long-term platform improvements.

Data Ingestion & Integration

 * Design and develop reusable data ingestion services using APIs, batch processing, file transfers, and event-driven architectures.
 * Build integration solutions for internal systems and external data providers.
 * Establish standardized processes for onboarding new data sources.
 * Implement metadata capture and management practices.

Cloud & Platform Engineering

 * Build, deploy, and maintain cloud-based platform services.
 * Implement Infrastructure as Code (IaC) and deployment automation.
 * Support platform monitoring, observability, troubleshooting, and performance optimization.
 * Participate in incident response and ongoing platform support activities.

Metadata, Governance & AI Enablement

 * Develop metadata management, data discovery, and search capabilities.
 * Support data catalogs, lineage tracking, classification, and retention requirements.
 * Integrate AI/ML capabilities, including annotation services, model outputs, and AI-generated metadata.
 * Design workflows that combine automation with human review and validation.
 * Ensure data traceability, auditability, and compliance with security standards.

DevSecOps & Automation

 * Develop and maintain CI/CD pipelines.
 * Automate testing, deployment, provisioning, and operational processes.
 * Implement security best practices throughout the development lifecycle.
 * Support platform resiliency, backup, recovery, and operational readiness.