Solutions Architect

Damen Solutions; Northern (KY); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Damen Solutions seeks an experienced IT architect to lead cloud-based enterprise architectures, with a focus on AI/ML platforms and data-intensive applications, while ensuring compliance and governance.

The role requires 10+ years in IT architecture, 3+ years in cloud, and expertise with Azure, Databricks, Snowflake, Docker and Kubernetes. You will translate business needs into scalable solutions and guide modernization efforts with stakeholders.

Qualifications

• Minimum 10 years in IT architecture roles.
• At least 3 years focused on cloud-based solutions.
• Experience designing enterprise-scale architectures for AI/ML platforms or data-intensive applications.
• Familiarity with federal compliance frameworks and data governance standards.

Responsibilities

• Translate business requirements into scalable technical solutions.
• Lead architecture reviews and ensure alignment with the modernization roadmap.
• Oversee security controls including encryption, RBAC and audit logging.
• Provide clear documentation and engage stakeholders throughout projects.

Skills

Cloud architecture

AI/ML platform design

Data governance

Security/compliance awareness

Stakeholder communication

Education

AWS Solutions Architect / Azure Solutions Architect / TOGAF

Tools

Azure

Databricks

Snowflake

Docker

Kubernetes

Job description

Public Trust Requirement
This position requires Public Trust or the ability to obtain and maintain Public Trust.

Experience
• Minimum 10 years in IT architecture roles, with at least 3 years focused on cloud-based solutions.
• Proven experience designing enterprise-scale architectures for AI/ML platforms or data-intensive applications.
• Familiarity with federal compliance frameworks and data governance standards.
• Certifications such as AWS Solutions Architect, Azure Solutions Architect, or TOGAF are preferred.

Technical Skills
• Expertise in cloud platforms, with Azure preferred, including networking, security, and identity management.
• Strong knowledge of Lakehouse architecture systems such as Databricks or Snowflake, and integration with enterprise systems.
• Proficiency in API design, microservices, and containerization using Docker and Kubernetes.
• Understanding of data pipelines, orchestration tools, and FAIR principles.

Other Requirements
• Ability to translate business requirements into scalable technical solutions.
• Experience with security and compliance controls, including encryption, role-based access control, and audit logging.
• Strong documentation and communication skills for stakeholder engagement.
• Capability to lead architecture reviews and ensure alignment with the modernization roadmap.