Jobs / Gui***

AI & Data Cloud Architect

Gui*** · McLean, VA, United States
McLean, VA, United StatesExp: 10+ yrsHybrid
Remuneration
Not specified
Location
McLean, VA, United States
Visa sponsorship
Sponsors visa

Job summary

The Cloud Architect role involves designing, implementing, and managing secure cloud and data platform solutions to enhance enterprise analytics and AI initiatives. Key responsibilities include leading infrastructure and DevSecOps activities across AWS, Snowflake, and Databricks, while ensuring compliance with security and governance standards.

Qualifications

  • Must be able to OBTAIN and MAINTAIN a Federal or DHS 'PUBLIC TRUST'
  • TEN (10) or more years of experience in cloud architecture, platform engineering, or infrastructure design roles.
  • Hands-on experience with AWS, Snowflake, Databricks etc.
  • 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 platforms.
  • 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

AWSDatabricksSnowflake

Certifications

Cloud and platform certifications (AWS, Snowflake, Databricks)

Degrees

Bachelor’s degree

Travel

Up to 10%

Security clearance

Ability to Obtain Public Trust

Relocation

No