Cloud & Data AI Architect (AWS, Snowflake, Databricks)
Guidehouse
An application made for this job — a tailored resume and cover letter that speak straight to the posting.
Benefits offered by this job
Job summary
Guidehouse seeks a Cloud Architect to design, implement, and oversee secure, scalable cloud and data platform solutions for enterprise analytics, data, and AI initiatives. This role provides hands-on technical leadership and architectural direction across cloud infrastructure, data platforms, and DevSecOps environments.
Responsibilities include end-to-end cloud and data platform design, leading infrastructure and DevSecOps, and ensuring security/compliance.
Qualifications
- Must be able to obtain and maintain a federal or DHS public trust.
- Bachelor’s degree.
- 10+ years of experience in cloud architecture, platform engineering, or infrastructure design roles.
- Hands-on experience with AWS, Snowflake, Databricks.
- Experience with DevSecOps, CI/CD pipelines, and platform automation.
- Experience supporting enterprise-scale data and analytics environments.
- Ability to work in a hybrid environment in the DC area.
Responsibilities
- Design end-to-end cloud and data platform architectures aligned to enterprise analytics, data management, and AI use cases.
- Lead infrastructure, platform engineering, and DevSecOps activities across cloud environments.
- Provide hands-on technical leadership across AWS, Snowflake, and Databricks.
- Support architecture reviews, technical design sessions, and solution demonstrations with client stakeholders.
- Ensure cloud solutions align with security, governance, resiliency, and compliance requirements.
- Collaborate closely with data architects, engineers, operations leads, and program leadership to deliver integrated solutions.
- Guide implementation teams on architectural standards, patterns, and best practices.
Skills
Education
Tools
Job description
Guidehouse seeks a Cloud Architect to design, implement, and oversee secure, scalable cloud and data platform solutions for enterprise analytics, data, and AI initiatives. This role provides hands-on technical leadership and architectural direction across cloud infrastructure, data platforms, and DevSecOps environments.
Responsibilities include end-to-end cloud and data platform design, leading infrastructure and DevSecOps, and ensuring security/compliance.
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