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Enterprise Cloud Architect IV - #9711-1
Enterprise Cloud Architect IV - #9711-1Mondo • Owings Mills, MD, US
Enterprise Cloud Architect IV - #9711-1

Enterprise Cloud Architect IV - #9711-1

Mondo • Owings Mills, MD, US
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Job Description

Job Description

Apply now : Enterprise Cloud Architect , location is Hybrid . The start date is 2 weeks from offer for this 6-month contract position.

Job Title : Enterprise Cloud Architect

Location-Type : Hybrid (2 days onsite in Owings Mills, MD)

Start Date Is : 2 weeks from offer

Duration : 6-month contract (potential to extend or convert)

Compensation Range : $70.00 - $85.00 / hr W2

Job Description :

Support enterprise architecture initiatives by translating business and technical requirements into scalable cloud-based solutions across AWS and integrated platforms.

Day-to-Day Responsibilities :

  • Collaborate with stakeholders across business and technology teams to gather requirements.
  • Support design and implementation of AWS cloud infrastructure solutions.
  • Assist in integration efforts with CRM and Marketing platforms.
  • Contribute to identity management strategy and agentic AI initiatives.
  • Produce architecture documentation and diagrams for technical and non-technical audiences.
  • Ensure compliance with security standards and best practices.

Must-Haves :

  • 10 years' experience in engineering, including 2–5 years in architecture roles.
  • Strong hands-on experience with AWS (ECS, Lambda, Compute, and related services).
  • Familiarity with Snowflake and Adobe platforms (or similar enterprise platforms).
  • Ability to create technical diagrams and clearly communicate complex solutions.
  • Knowledge of integration patterns (APIs, microservices) and architecture best practices.
  • Strong focus on security and compliance standards in solution design.
  • Exposure to AI workflows, agentic systems, or data streaming technologies.

    • Nice-to-Haves :

  • Financial services industry experience.
  • Experience supporting marketing and CRM platforms.
  • Understanding of RAG and SQL-based AI integrations.
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