VP, Cloud Data Architect — Remote-Eligible Platform Leader

Synchrony

Chicago (IL)

Hybrid

USD 155,000 - 260,000

Full time

17 hours ago
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Benefits offered by this job

Annual bonus eligibility
Flexible work location near hubs

Job summary

Synchrony is seeking a VP, Cloud Data Solution Architect to lead the strategic design of its enterprise data ecosystem in the cloud, enabling high-performing, secure, scalable data platforms for operational and analytic needs.

You will define target-state cloud data architecture, enable reusable migration frameworks, and partner with senior stakeholders to modernize legacy data ecosystems while driving AI-enabled data capabilities across the organization.

Qualifications

  • Bachelor’s degree in CS/IT/Engineering/Data Management or related field is required.
  • 8+ years of information technology, data architecture, or related experience.
  • Experience with cloud-native data platforms and data lakehouse architectures.

Responsibilities

  • Provide architecture thought leadership across cloud data platforms, data lakehouse and data mesh patterns.
  • Shape and maintain target-state architecture and modernization roadmaps.
  • Support architectural evaluations and trade-off decisions across cloud-native services and data models.
  • Partner with senior stakeholders to assess and modernize current-state environments.
  • Establish and promote architecture principles, reference architectures, and reusable migration frameworks.
  • Influence cross-functional teams by translating architecture decisions into business value.
  • Provide guidance to architects on cloud-native data design and modernization trends.

Skills

Cloud data platforms
Data architecture
Agile / JIRA
Stakeholder management
Travel readiness

Education

Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Management, or related field

Tools

AWS
GCP
JIRA

Job description

Synchrony is seeking a VP, Cloud Data Solution Architect to lead the strategic design of its enterprise data ecosystem in the cloud, enabling high-performing, secure, scalable data platforms for operational and analytic needs.

You will define target-state cloud data architecture, enable reusable migration frameworks, and partner with senior stakeholders to modernize legacy data ecosystems while driving AI-enabled data capabilities across the organization.

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