AWS Cloud Migration Architect
Marysville, OH - USA
Job Summary
- Lead end-to-end AWS cloud migration programs covering infrastructure applications databases DevOps and security.
- Drive workload discovery dependency mapping assessment and migration planning using tools and frameworks such as ModelizeIT AWS Application Discovery Service and AWS Transform.
- Design and review AWS infrastructure architectures covering EC2 EKS RDS networking security IAM and related AWS services.
- Develop workload-level migration strategies and R-lines including Rehost Replatform Refactor Retire and Retain decisions.
- Define database transformation and migration strategies across heterogeneous enterprise environments.
- Assess workloads and determine the right-fit cloud infrastructure architecture and provisioning model.
- Lead architecture discussions with customer leadership and enterprise architecture teams.
- Work closely with application teams to understand application dependencies technical constraints and migration requirements.
- Provide technical leadership across Infrastructure Application DevOps and Security migration workstreams.
- Define and implement AWS Landing Zones account structures networking IAM roles/permissions security controls and infrastructure provisioning.
- Lead migration planning and execution using appropriate AWS and third-party migration tools.
- Provide technical guidance through cutover stabilization and Day-2 operations.
- Identify migration risks dependencies and technical gaps and drive their resolution with relevant stakeholders.
- Establish architecture standards reusable patterns and migration best practices across the program.
AWS Architecture
- Strong hands-on experience designing enterprise AWS architectures.
- Expertise across:
EC2
EKS
VPC / Networking
IAM
Security
RDS
Storage and backup
Monitoring and operational services
Strong understanding of AWS Well-Architected principles.
- Proven experience leading large-scale AWS migration and modernization programs.
- Strong understanding of migration methodologies and workload disposition.
- Experience with ModelizeIT or comparable discovery and assessment platforms.
- Experience with AWS Application Discovery Service.
- Experience with AWS Transform is highly desirable.
- Strong experience with AWS MGN/CloudEndure.
- Experience with AWS DMS and database migration.
- Experience setting up AWS Landing Zones.
- Strong knowledge of infrastructure provisioning and automation.
- Experience with IAM roles permissions and security architecture.
- Understanding of DevOps CI/CD and infrastructure-as-code practices.
- Excellent customer-facing communication and presentation skills.
- Ability to engage effectively with customer CIO/CTO architecture and technology leadership.
- Ability to translate business and application requirements into pragmatic cloud architectures.
- Strong stakeholder management and cross-functional collaboration skills.
- Ability to lead technical teams and coordinate multiple migration workstreams.
- Strong problem-solving and decision-making capabilities.
- Comfortable working in a complex globally distributed enterprise environment.
- AWS Solutions Architect certification or equivalent.
- AWS Certified Advanced Networking / Security / DevOps certification is a plus.
- Experience in automotive or manufacturing environments is preferred.
- Experience with large-scale enterprise transformation programs.
- Experience working with global system integrators and enterprise customers.
Required Skills:
At least 15 years of industry experience including at least 10 years in data and analytics and at least 10 years in consulting or client delivery roles. Current Microsoft data platform certifications at minimum DP-600 (Fabric Analytics Engineer) or PL-300 (Power BI Data Analyst); DP-700 (Fabric Data Engineer) is a plus. These also count toward our Microsoft partner designations. Strong SQL and dimensional modeling fundamentals with production data warehouse delivery experience. Deep Power BI: DAX tabular model design workspace governance deployment practices. Microsoft data platform experience: Fabric or Synapse Azure Data Factory or equivalent pipeline tooling OneLake or lakehouse patterns. Experience outside the Microsoft stack because our clients run mixed estates. Meaningful exposure to at least one of: Snowflake Databricks Oracle AWS analytics services (Redshift Glue S3) or dbt. Consulting temperament: comfortable in front of clients able to run a working session write things down and manage more than one engagement at a time.
Required Education:
BS