Data Platform Engineer

Strategic Staffing Solutions, Inc.; Gahanna (OH); Hybrid; USD 96,000 - 138,000; Full time

Job summary

Strategic Staffing Solutions, Inc. seeks a Data Platform Engineer in Gahanna, OH for a 12-month contract.

You will design, build, and operate an enterprise unstructured data platform, enabling ingestion, storage, governance, and AI-driven use cases across imagery, documents, LiDAR, video, and sensor data. You will implement cloud-native architectures, IaC, data catalogs, data lineage, and annotation workflows, collaborating with product owners, data scientists, and security teams to ensure

Qualifications

• 5+ years of solution/ cloud engineering experience.
• Experience designing distributed cloud-native architectures.
• Experience with API design and system integrations.
• Experience with enterprise data platforms.
• Experience implementing automation and DevOps practices.
• Experience translating business requirements into technical solutions.

Responsibilities

• Design scalable cloud-native solutions for enterprise unstructured data workloads.
• Define reference architectures, patterns, and standards.
• Develop roadmaps aligned to platform strategy.
• Ensure security, reliability, and operational readiness.
• Translate business requirements into technical designs.
• Build and support cloud-based platform services.
• Implement IaC practices and automation for deployment.
• Support monitoring, observability, and incident response.
• Design metadata structures and data discovery capabilities.
• Implement metadata catalogs, data lineage, and retention policies.
• Integrate annotation and AI-enabled workflows.
• Design human-in-the-loop workflows with auditability.

Skills

Cloud engineering

Distributed cloud architecture

API design

Data platforms

DevOps automation

Requirements translation

Education

Computer Science

Engineering

Information Systems

Related technical discipline

Tools

AWS

Azure

Google Cloud Platform

Job description

Data Platform Engineer

Location: Gahanna, OH (Hybrid)

Duration: 12 Month Contract

Position Summary

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.

Primary Responsibilities:

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 & Integratio

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.

Required Qualifications

Education

• 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