We are looking for an EDA who combines executive presence, deep technical expertise, modern cloud platform knowledge, and AI readiness experience. This individual must bring a well-informed architectural point of view, influence executive stakeholders, drive enterprise standards, and design future-state data capabilities that enable analytics, governance, digital transformation, and AI at scale. The successful candidate is a trusted advisor and thought leader, not simply a technical implementer.
Experience
- 15+ years in Data Architecture, Data Engineering, or Data Platform leadership.
- 8+ years designing cloud-native enterprise data ecosystems.
- 5+ years supporting AI, ML, or advanced analytics initiatives.
- Experience leading architecture review boards and governance councils.
- Experience supporting Fortune 500 or large enterprise environments with a focus on data quality/data governance/data driven decisioning capabilities.
Education
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
- Master's degree preferred.
- Relevant certifications highly desirable.
Preferred Certifications
- SnowPro Advanced Architect
- AWS Certified Solutions Architect Professional
- AWS Data Analytics Specialty
- Microsoft Azure Solutions Architect Expert
- Microsoft Fabric Analytics Engineer
- Databricks Certified Data Architect
- TOGAF