{"id":4041181,"url":"https://alion.io/job/ntt-data-atlassian-cloud-migration-architect","title":"Atlassian Cloud Migration Architect","company":{"id":50348,"name":"NTT DATA","domain":"nttdata.com","url":"https://alion.io/company/ntt-data","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":{"grade":"A","score":92,"open_postings":104,"ghost_share":0,"stale_share":0.51,"repost_share":0.019,"time_to_fill_p50_days":18,"computed_at":"2026-11-10T06:52:35Z"}},"role":"DevOps","role_family":"DevOps","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["King of Prussia, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":117600,"max":196000,"currency":"USD","period":"year","gross":null,"usd_annual":196000},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Confluence","optional":false},{"name":"IAM","optional":false},{"name":"Jira","optional":false},{"name":"Rest API","optional":false},{"name":"Azure","optional":true},{"name":"Azure DevOps","optional":true},{"name":"Bitbucket","optional":true},{"name":"CI/CD","optional":true},{"name":"GitHub","optional":true},{"name":"GitLab","optional":true},{"name":"Go","optional":true},{"name":"Groovy","optional":true},{"name":"ITSM","optional":true},{"name":"Java","optional":true},{"name":"Jenkins","optional":true},{"name":"LDAP","optional":true},{"name":"Least Privilege","optional":true},{"name":"Microsoft Entra ID","optional":true},{"name":"Microsoft Teams","optional":true},{"name":"Okta","optional":true},{"name":"Ping Identity","optional":true},{"name":"Power BI","optional":true},{"name":"ServiceNow","optional":true},{"name":"Slack","optional":true},{"name":"Splunk","optional":true}],"status":"live","first_seen_at":"2026-11-10T16:03:39Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-10T22:13:07Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Req ID: 397525\nNTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.\nWe are currently seeking a Atlassian Cloud Migration Architect to join our team in King Of Prussia, Pennsylvania (US-PA), United States (US).\nWe are looking for a highly experienced, Atlassian Cloud Migration Architect with hands-on with proven experience designing and executing large-scale Jira, Jira Service Management (JSM), and Confluence Data Center to Atlassian Cloud migrations.\nThis is not a Jira administration-only role. The architect must have strong knowledge of the internal functioning of the Atlassian platform, migration tooling, application/data models, authentication and identity architecture, marketplace applications, ScriptRunner/customizations, APIs, automation, licensing, security, and Cloud platform constraints.\nThe ideal candidate will have personally participated in multiple enterprise Atlassian migrations and be capable of independently assessing an existing Data Center estate, identifying migration blockers, defining remediation strategies, designing the target Cloud architecture, running migration rehearsals, troubleshooting failed migrations, and leading production cutovers.\nThe architect is expected to work closely with customer platform teams, application owners, security/IAM teams, Atlassian, Marketplace vendors, testing teams, and business stakeholders.\nDay to Day / Job Functions\nData Center to Cloud Migration Architecture\nOwn the end-to-end technical architecture and migration strategy for: Jira Software Data Center, Jira Service Management Data Center, Confluence Data Center, Atlassian Marketplace applications, Custom integrations and applications, Identity and access management, Automation and scripting, Data and configuration migration\nDevelop migration strategies using: Jira Cloud Migration Assistant (JCMA), Confluence Cloud Migration Assistant (CCMA), Atlassian-supported migration tooling, Atlassian APIs, Marketplace application migration capabilities, Custom migration utilities/scripts where required.\nDefine and execute: Discovery and assessment, Migration readiness analysis, Cloud suitability assessment, Data cleanup strategy, Application/plugin assessment, Migration wave strategy, Pilot migration, UAT migrations, Production migration, Delta migration strategy, Hypercare and stabilization\nDesign migration approaches for very large Atlassian estates involving: Thousands of projects/spaces, Millions of Jira issues, Millions of Confluence pages, Multi-terabyte attachment repositories, Thousands of workflows, Large numbers of custom fields, Complex permission schemes, Large user populations, Multiple Marketplace applications\nDeep Jira / Confluence Platform Knowledge\nThe architect must understand how Jira and Confluence work beyond the UI/admin console.\nExpected Jira knowledge includes: Projects and project configuration, Company-managed vs team-managed projects, Issue types and issue type schemes, Workflows and workflow schemes, Workflow conditions, validators and post-functions, Screens and screen schemes, Field configurations, Custom fields and contexts, Custom field performance implications, Permission schemes, Notification schemes, Project roles, Groups and users, Components, Versions/releases, Issue links, Filters and dashboards, Boards and Agile configurations, JQL, Jira Automation, REST APIs, Webhooks, Assets / CMDB concepts, JSM request types and portals, JSM queues, SLAs, Forms, Knowledge management, Customer vs licensed-user concepts\nExpected Confluence knowledge includes: Spaces, Pages and page hierarchy, Attachments, Permissions, Space permissions, Global permissions, User/group permissions, Macros, Marketplace macros, Templates, Page properties, Content properties, External integrations, Large attachment migration, Broken macro remediation, Application links and integrations\nMarketplace Application / Plugin Migration\nPerform detailed assessment of Marketplace applications used within the Data Center estate.\nFor each application, determine: Cloud equivalent availability, Data residency requirements, Cloud feature parity, Migration path, Vendor-provided migration tooling, Data migration support, Manual remediation requirements, Licensing impact, API differences, Functional gaps, Security implications, Replacement options.\nThe architect should have practical experience with commonly used Atlassian applications such as: ScriptRunner, Xray, Zephyr, Structure, BigPicture, Tempo, Elements, Rich Filters, eazyBI, Configuration Manager, JSU, JMWE, Power Scripts, Refined, Insight / Assets, Advanced Roadmaps, Table/Grid applications, Reporting and dashboard applications, Experience troubleshooting Marketplace application migration failures is highly desirable.\nScriptRunner & Customization Expertise\nStrong knowledge of ScriptRunner for Jira is required.\nThe candidate should understand: Groovy scripts used within Jira Data Center, ScriptRunner scripted fields, Behaviors, Listeners, Workflow functions, Conditions, Validators, Post-functions, Scheduled jobs, REST endpoints, Script fragments, Custom JQL functions, Scripted automation, External system integrations\nThe architect must understand that Data Center scripts generally cannot simply be moved unchanged to Cloud.\nMust be capable of assessing individual scripts and recommending: ScriptRunner Cloud equivalent, Jira Automation replacement, Forge application, Atlassian REST API implementation, Marketplace application replacement, External microservice / integration, Functional redesign, Retirement of obsolete, customization.\nShould understand differences between Data Center and Cloud execution models including: Groovy vs Cloud execution models, API-based access, Authentication, execution limits, asynchronous processing, rate limits, data access restrictions, Cloud security boundaries\nCustom Application & Integration Architecture\nAssess custom-built Jira/Confluence integrations including: REST API integrations, Webhooks, Database integrations, LDAP integrations, CI/CD integrations, ITSM integrations, Monitoring tools, Reporting platforms, Data warehouse integrations, CMDB integrations, DevOps platforms\nShould have architecture experience with integrations involving platforms such as: ServiceNow, GitHub, GitLab, Bitbucket, Jenkins, Azure DevOps, Microsoft Teams, Slack, Power BI, Splunk, Identity providers.\nMust be able to recommend whether existing customizations should be: Migrated, Refactored, Replaced, Re-platformed, Retired, Knowledge of Atlassian Forge and modern Atlassian Cloud extensibility models is strongly preferred.\nIdentity, SSO & User Migration\nDesign Cloud identity architecture covering: Atlassian organization, Atlassian Administration, Managed accounts, Domains, Domain verification, SAML SSO, SCIM provisioning, User lifecycle management, Atlassian Guard, MFA, Group synchronization, User migration, Deactivated users, Duplicate accounts, Email address changes, External/non-domain users, JSM portal customers, Experience integrating\nAtlassian Cloud with enterprise identity providers such as: Microsoft Entra ID, Okta, Ping Identity, Other enterprise IdPs.\nMust understand the differences between: Data Center LDAP/AD user management, Atlassian Cloud accounts, Managed accounts, Product access, Application roles, JSM agents, JSM customers\nAtlassian Cloud Architecture (2+ Years of Experience)\nDesign enterprise Atlassian Cloud environments including: Atlassian organizations, Sites, Products, Sandboxes, Production environments, Administration model, Security boundaries, Access control, Data residency, Marketplace application architecture, Cloud integrations, Backup/restore considerations, Business continuity considerations\nUnderstand important Cloud architecture differences and constraints compared with Data Center including: No direct database access, Restricted filesystem access, REST API-based integrations, API rate limits, SaaS release model, Marketplace application architecture, Cloud automation limits, Customization limitations, Platform guardrails\nLicensing & Commercial Understanding\nStrong knowledge of Atlassian licensing and subscription concepts is required.\nCandidate should understand the commercial implications of: Jira, Jira Service Management, Confluence, Atlassian Guard, Marketplace applications, User tiers, JSM agent licensing, JSM portal customers, Cloud subscription plans, Sandbox environments, Premium / Enterprise capabilities, Marketplace application subscription models\nShould be able to perform licensing optimization by identifying: Active vs inactive users, Product access, Agent vs customer access, Duplicate users, Unnecessary application access, Unused plugins, Marketplace app cost impact\nMust be comfortable participating in conversations involving Atlassian licensing, subscription optimization and overall platform TCO.\nMigration Assessment\nLead detailed discovery of existing Atlassian estates. Assessment should cover at minimum:\nJira: Number of projects, Issues, Attachments, Users, Groups, Custom fields, Custom field contexts, Workflows, Workflow schemes, Issue types, Screens, Permission schemes, Notification schemes, Automation rules, Filters, Dashboards, Boards, Versions, Components, Integrations, Marketplace applications\nConfluence: Spaces, Pages, Attachments, Users, Groups, Macros, Marketplace macros, Templates, Permissions, Integrations\nCustomization Assessment: ScriptRunner scripts, Custom plugins, Custom REST endpoints, Java plugins, Groovy scripts, Database integrations, External scripts, APIs, Webhooks, Reporting integrations.\nProduce a migration complexity heatmap classifying objects as: Standard migration, Configuration remediation, App-dependent migration, Custom migration, Redesign required, Unsupported, Retire.\nMigration Execution & Troubleshooting\nThe architect must be capable of hands-on troubleshooting rather than relying entirely on Atlassian Support. Develop reconciliation reports\nMigration Wave & Cutover Design\nDesign migration waves based on: Business criticality, Application dependencies, Project dependencies, User communities, Marketplace applications, Integration dependencies, Data volumes, Downtime constraints\nDefine detailed cutover plans including: Pre-cutover validation, Change freeze, Data migration, Application migration, Integration transition, Identity transition, Validation, Business smoke testing, Go/no-go checkpoints, Rollback strategy, Hypercare\nSecurity, Compliance & Governance:\nWork with enterprise security teams to address SSO, MFA, User provisioning, Least-privilege access, Audit logs, Data residency, Data classification, Encryption, Marketplace application security, Third-party application access, API token management, OAuth, Service accounts, External collaboration. Experience working with regulated enterprise environments is preferred.\nArchitecture & Migration Deliverables\nThe architect will be responsible for producing Current-state architecture, Target-state Atlassian Cloud architecture, Migration strategy, Migration assessment report, Marketplace application assessment, ScriptRunner/customization assessment, Migration complexity matrix, Integration inventory, User and identity migration strategy, Security architecture, Migration wave plan, Detailed migration runbook, Cutover plan, Rollback strategy, Migration validation framework, Risk and dependency register, Operational readiness plan, Cloud governance model, Platform administration model, Post-migration optimization roadmap\nRequired Experience\n10+ years of overall IT experience preferred\n6+ years of hands-on Atlassian platform experience\n4+ years of strong Jira and Confluence administration/architecture background\n4+ years of proven Data Center to Atlassian Cloud migration 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