Apps Sr. Architect - Lumen Data Center Exit - Milwaukee, WI (Hybrid)

Role : Apps Sr. Architect Lumen Data Center Exit
Location : Milwaukee, WI (Hybrid)
Contract

Role Overview

The Applications Senior Architect will lead the end-to-end application architecture, dependency mapping, and migration strategy for the Lumen Data Center Exit, covering environments hosted in Baxtel CH3 (Chicago) and DC3 (Virginia).

This role is accountable for defining application disposition strategy (6R), integration mapping, data flow architecture, and wave-based migration approach, ensuring seamless separation, minimal business disruption, and successful TSA exit aligned to cloud-first transformation objectives.

Key Responsibilities

1. Application Strategy & Architecture Leadership

• Define and govern enterprise application exit strategy and migration roadmap
• Lead application architecture inputs for the Migration Readiness Blueprint
• Ensure alignment with:
  • Business priorities
  • Cloud-first strategy (AWS target platform)
  • TSA exit timelines

2. Application Inventory & Discovery Governance

• Drive validation of:
  • Application landscape, workloads, and associated infrastructure
• Ensure complete mapping of:
  • Application purpose
  • Business criticality
  • Hosting and infrastructure dependencies
• Collaborate with DC Architect for infrastructure validation alignment

3. Dependency Mapping & Integration Architecture

• Lead identification and documentation of:
  • Upstream/downstream integrations (APIs, DB links, batch jobs, SFTP feeds)
  • Data flows and authentication dependencies
• Build and govern end-to-end application dependency matrix
• Address complex:
  • App-to-app
  • App-to-database
  • App-to-identity dependencies

4. Workload Disposition Strategy (6R Ownership for Apps)

• Define application-level disposition strategy:
  • Rehost, Re-platform, Rebuild, Retain, Retire
• Evaluate based on:
  • Technical feasibility
  • Business impact
  • Cost and modernization potential
• Identify:
  • Legacy application constraints
  • Licensing restrictions
  • Enviri shared dependencies and TSA blockers

5. Application Modernization & Cloud Alignment

• Define target-state application architecture aligned to:
  • AWS services (EC2, RDS, S3, Lambda)
• Recommend:
  • Re-platforming or modernization opportunities
  • API-driven, microservices, or cloud-native architecture (where applicable)
• Identify workloads requiring:
  • Hybrid or alternative hosting models

6. Data Flow & Data Migration Strategy

• Analyze and define:
  • Application-level data flows and integration patterns
  • Data volumes and retention requirements
• Provide architecture for:
  • Data migration
  • Data archival and disposition
• Align with data and cloud teams on:
  • Database migration approach
  • File storage movement strategy

7. Migration Wave Planning & Execution Strategy

• Define application-aware migration wave strategy:
  • Group workloads based on dependency clusters
• Establish:
  • Cutover approach
  • Rollback procedures
  • Business validation checkpoints
• Ensure migration sequencing minimizes:
  • Application downtime
  • Business disruption

8. Application Risk, Constraints & Governance

• Own:
  • Application-level risk, assumptions, and constraints register
• Identify risks such as:
  • Legacy OS dependencies
  • Tight app-database coupling
  • Hardcoded integrations
• Define mitigation strategies and escalation plans

9. Cross-Workstream Coordination & Leadership

• Drive alignment with:
  • DC Architect (infra readiness)
  • Cloud Architect (target platform)
  • Identity & Security teams (SSO, authentication)
• Ensure dependencies across:
  • Identity (WS1), Cloud (WS2), Network (WS5) are addressed before migration

10. Stakeholder Engagement & Executive Communication

• Communicate architecture decisions and risks to:
  • Business stakeholders
  • Program leadership
• Provide:
  • Executive summaries
  • Decision support artifacts
• Drive application-level sign-offs for migration readiness

Key Deliverables

• Validated application & workload inventory (CH3 DC3)
• Detailed application & data dependency matrix
• Workload disposition and modernization strategy
• AWS suitability and hosting recommendation report
• Data migration and data disposition plan (application view)
• Migration wave plan with sequencing, cutover, and rollback
• Application risk, constraint, and assumption register
• Final assessment and planning sign-off package

Required Skills

Primary Skills

• Enterprise application architecture and modernization
• Large-scale application migration / carve-out programs
• Strong expertise in:
  • Application dependency mapping
  • Integration architecture (APIs, middleware, batch processing)
• Workload disposition frameworks (6R model)
• Migration planning for legacy applications

Secondary Skills

• Cloud architecture alignment (AWS preferred)
• Data migration and database strategy
• Identity and authentication integration (SSO, IAM)
• Tools:
  • Azure Migrate, RVTools, ASR (discovery inputs)
• TOGAF-based enterprise architecture practices

Experience Profile

• 18 years of IT experience
• 12 years in application architecture / enterprise design
• Proven experience in:
  • M&A / carve-out / TSA exit programs
  • Legacy application transformation programs
• Strong experience with:
  • Multi-application ecosystems (20 enterprise apps)
  • Integration-heavy environments
• Experience working with:
  • Cross-functional architecture teams

Certifications (Strongly Preferred)

Primary Certifications

• TOGAF (Enterprise Architecture)
• AWS Certified Solutions Architect Professional
• Azure Solutions Architect Expert

Secondary Certifications

• ITIL v4 Managing Professional
• AWS Certified Application Specialty (if available)
• Kubernetes / Microservices architecture certifications (good to have)

Success Criteria

• Complete and accurate application dependency mapping and inventory validation
• Optimized application disposition strategy aligned to cost and modernization goals
• Seamless coordination of application-aware migration waves
• Minimal business disruption during migration and cutover
• Strong governance and stakeholder alignment

Personal Attributes

• Strong strategic and analytical mindset
• Deep understanding of enterprise application ecosystems
• Ability to manage high complexity and interdependencies
• Strong stakeholder communication and executive presence
• High ownership in ambiguity and transformation scenarios