Solution Engineer Sr

The Solution Engineer will collaborate with Product Owners, Data Engineers, Platform Engineers, Data Scientists, and business stakeholders to deliver solutions that support ingestion, storage, governance, annotation, analytics, and AI-driven use cases. Technical Experience 5+ years of solution engineering, software engineering, platform engineering, or cloud engineering experience.

Job Title: Solution Engineer Sr
Location: Gahanna, OH
Work Model: Onsite

POSITION OVERVIEW
The Solution Engineer is responsible for designing, building, integrating, and supporting the enterprise Unstructured Data Platform. This role serves as a technical leader within a single-stack platform organization and focuses on enabling business capabilities through scalable cloud-native solutions, reusable ingestion services, metadata management, AI-enablement, and operational excellence.

The Solution Engineer will collaborate with Product Owners, Data Engineers, Platform Engineers, Data Scientists, and business stakeholders to deliver solutions that support ingestion, storage, governance, annotation, analytics, and AI-driven use cases.
This role supports the long-term vision of establishing a reusable enterprise platform that can manage and operationalize unstructured data including imagery, documents, LiDAR, sensor data, video, inspection records, and AI-generated metadata.

WHAT YOU WILL BE DOING
Platform Architecture & Solution Design
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.

Data Ingestion & Integration
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.

Platform & Cloud Engineering
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.

Metadata & Governance Enablement
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.

Annotation & AI Enablement
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.

Human-in-the-Loop Workflows
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.

DevSecOps & Automation
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.

WHAT’S NEEDED
Education
Bachelor's degree in:

• Computer Science
• Engineering
• Information Systems
• Related technical discipline

Technical Experience

• 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.
• Cloud & Platform Experience
• 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

COMPENSATION & BENEFITS
· Medical, dental, and vision insurance
· 401(k)
· Other standard benefits as applicable

Distribution List: IT/Technical

ABOUT UNICON
UNICON is a workforce solutions provider with over 35 years of experience supporting organizations across a variety of industries. We partner with our clients to deliver skilled professionals while maintaining a strong focus on quality, compliance, and long-term relationships. UNICON is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.