Senior Level Cloud Data Engineer Jobs
Senior level cloud data engineer jobs put experienced engineers in charge of cloud data architecture decisions, pipeline ownership, and the cross-functional teams that deliver production-grade data systems at scale. Roles are distributed across on-site, remote, and hybrid settings in Technology & Software, Investment & Asset Management, and Manufacturing, with employers like HP, Ketjen, and Mizuho hiring at this level now.
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Job Title: Lead Jira Data Center to Cloud FedRAMP SME
Data Migration to GovCloud Migration
Role Requirements
- Lead subject matter expert responsible for the technical execution of a Jira Data Center-to-Atlassian GovCloud (FedRAMP Moderate) migration, running the Jira Cloud Migration Assistant across trial and production cycles, proving data fidelity through automated reconciliation, and rebuilding configuration that does not migrate natively under FedRAMP constraints.
Focus Area (Competency)
- Atlassian Platform Migration
- Regulated Cloud Migration and Data Integrity
Required Skills
- Jira Cloud Migration Assistant (JCMA)
- Jira Data Center Administration
- Jira Cloud Administration
- Data Migration and Reconciliation
- Atlassian Govcloud / Fedramp Moderate Environments
- Jira Query Language (JQL)
- Atlassian REST API And Scripting
- Workflow, Scheme, And Custom Field Configuration
- Marketplace App Compatibility Assessment
- Cutover Planning and Rollback Design
- SSO, Service Account, And Access Provisioning
- Migration Runbook Development
Preferred Skills
- Script runner to cloud-native conversion
- Structure, structure. gantt, and custom charts
- Automation for Jira rule rebuild
- Cui and controlled data handling
- Python or Groovy for reconciliation tooling
- Jira Align or Confluence migration experience
Required Licenses & Certifications
- Atlassian Certified Jira Administrator (ACP-120 or current equivalent)
- Atlassian Cloud Migration accreditation or demonstrated JCMA production migration record
- Computer Science, Information Systems, or Engineering
- Ability to obtain US Government contractor eligibility for CUI handling
Role Description
- Validate the inventory and scope of roughly 21,000 work items along with boards, sprints, attachments, filters, dashboards and their gadget queries, structures, automations, and user accounts, and classify each item as native-migrating.
- Build and run automated Data Center-to-Cloud reconciliation of work items, comments, attachments, links, and history, and produce reconciliation reports to support trial review and the production validation record.
- Lead the plugin and app gap assessment against FedRAMP-approved GovCloud availability, and design Cloud-native replacements for capabilities that cannot follow — including Script Runner logic and Rich Filters — with a documented approach for converting scripted fields to native Jira Cloud custom fields.
- Author the migration runbook, cutover plan, and rollback procedure, including freeze window sequencing, integration and service account re-pointing, entry and exit criteria, and the read-only fallback to Data Center on a no-go decision.
- Support joint UAT and the go/no-go gate with evidence: reconciliation results, end-to-end workflow test outcomes, and Day-1 asset validation, with defects logged, triaged, and remediated before the production run.
- Lead hyper care after go-live with rapid defect triage and fixes, and advise on Data Center retention and decommission alignment with GE Cyber and Compliance.
- Act as the technical authority for the engagement, directing the Jira Migration Engineer and Migration Analyst, and translating migration risk into decisions the project director and client leadership can act on.
Job Title: Lead Jira Data Center to Cloud FedRAMP SME
Data Migration to GovCloud Migration
Role Requirements
- Lead subject matter expert responsible for the technical execution of a Jira Data Center-to-Atlassian GovCloud (FedRAMP Moderate) migration, running the Jira Cloud Migration Assistant across trial and production cycles, proving data fidelity through automated reconciliation, and rebuilding configuration that does not migrate natively under FedRAMP constraints.
Focus Area (Competency)
- Atlassian Platform Migration
- Regulated Cloud Migration and Data Integrity
Required Skills
- Jira Cloud Migration Assistant (JCMA)
- Jira Data Center Administration
- Jira Cloud Administration
- Data Migration and Reconciliation
- Atlassian Govcloud / Fedramp Moderate Environments
- Jira Query Language (JQL)
- Atlassian REST API And Scripting
- Workflow, Scheme, And Custom Field Configuration
- Marketplace App Compatibility Assessment
- Cutover Planning and Rollback Design
- SSO, Service Account, And Access Provisioning
- Migration Runbook Development
Preferred Skills
- Script runner to cloud-native conversion
- Structure, structure. gantt, and custom charts
- Automation for Jira rule rebuild
- Cui and controlled data handling
- Python or Groovy for reconciliation tooling
- Jira Align or Confluence migration experience
Required Licenses & Certifications
- Atlassian Certified Jira Administrator (ACP-120 or current equivalent)
- Atlassian Cloud Migration accreditation or demonstrated JCMA production migration record
- Computer Science, Information Systems, or Engineering
- Ability to obtain US Government contractor eligibility for CUI handling
Role Description
- Validate the inventory and scope of roughly 21,000 work items along with boards, sprints, attachments, filters, dashboards and their gadget queries, structures, automations, and user accounts, and classify each item as native-migrating.
- Build and run automated Data Center-to-Cloud reconciliation of work items, comments, attachments, links, and history, and produce reconciliation reports to support trial review and the production validation record.
- Lead the plugin and app gap assessment against FedRAMP-approved GovCloud availability, and design Cloud-native replacements for capabilities that cannot follow — including Script Runner logic and Rich Filters — with a documented approach for converting scripted fields to native Jira Cloud custom fields.
- Author the migration runbook, cutover plan, and rollback procedure, including freeze window sequencing, integration and service account re-pointing, entry and exit criteria, and the read-only fallback to Data Center on a no-go decision.
- Support joint UAT and the go/no-go gate with evidence: reconciliation results, end-to-end workflow test outcomes, and Day-1 asset validation, with defects logged, triaged, and remediated before the production run.
- Lead hyper care after go-live with rapid defect triage and fixes, and advise on Data Center retention and decommission alignment with GE Cyber and Compliance.
- Act as the technical authority for the engagement, directing the Jira Migration Engineer and Migration Analyst, and translating migration risk into decisions the project director and client leadership can act on.
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Senior Level Cloud Data Engineer Jobs: Frequently Asked Questions
How do I get a senior level cloud data engineer job?
Employers at this level look for engineers who have owned end-to-end data platform decisions, not just contributed to them. Strong candidates demonstrate experience designing scalable pipelines on major cloud platforms, leading migrations or architectural overhauls, and mentoring junior engineers. Hands-on depth with orchestration tools, data modeling, and cost optimization, paired with a history of driving measurable outcomes, sets candidates apart from mid-level applicants.
Which companies hire senior level cloud data engineers?
Companies hiring senior level cloud data engineers right now include HP, Ketjen, and Mizuho, based on current listings on Migrate Mate as of September 2026. Hiring at this level covers large enterprises building out centralized data platforms and high-growth organizations scaling their analytics infrastructure to support business-critical decisions.
Are there remote senior level cloud data engineer jobs?
Yes, remote availability is strong at this level. About 36% of senior level cloud data engineer openings are remote or hybrid as of September 2026, reflecting how cloud-native work naturally accommodates distributed teams. Senior engineers with deep platform expertise are in enough demand that many employers extend flexible arrangements to attract and retain them.
What makes a cloud data engineer role senior level?
Senior level cloud data engineer roles are defined by ownership and scope. Engineers at this level architect solutions rather than implement specifications, make platform and tooling decisions with long-term implications, and are accountable for reliability and performance at scale. They also mentor and guide junior and mid-level engineers, contribute to technical roadmaps, and collaborate directly with data science, analytics, and product stakeholders to shape how data flows across the organization.
Which industries hire the most senior level cloud data engineers?
Senior level cloud data engineer roles concentrate in Technology & Software, Investment & Asset Management, and Manufacturing, based on current listings on Migrate Mate as of September 2026. These sectors generate the data volume, compliance requirements, and infrastructure complexity that make experienced cloud data engineering expertise a core business need rather than a supporting function.