Senior Director Data Architect

Konsus, Inc. (Superside); United States; Remote; USD 150,000 - 210,000; Full time

Job summary

A leading company is seeking a Senior Director for Data Modernization and Solution Architecture on a remote basis. This role involves collaborating with executives to address data challenges and leading modernization initiatives. Candidates should possess extensive experience in data architecture, preferably with expertise in cloud solutions across top platforms such as AWS, Azure, and GCP.

Qualifications

• 15+ years of experience in data architecture and cloud modernization.
• Strong track record in designing modern data platforms across AWS, Azure, and GCP.
• Demonstrated experience in data migration projects from legacy systems to cloud-native solutions.

Responsibilities

• Partner with C-level and senior stakeholders to understand business goals and data challenges.
• Architect scalable data solutions and lead end-to-end solutioning from assessment to cloud migration.
• Mentor teams and drive adoption of modern architecture principles across the organization.

Skills

Data architecture

Cloud modernization

Data modeling

Data governance

Education

Bachelor's or Master's in Computer Science, Engineering, Information Systems

Tools

AWS

Azure

GCP

Job description

A company is looking for a Senior Director Data Modernization Solution Architect (Remote).

Key Responsibilities

• Partner with C-level and senior stakeholders to understand business goals and data challenges
• Architect scalable data solutions and lead end-to-end solutioning from assessment to cloud migration
• Mentor teams and drive adoption of modern architecture principles across the organization

Required Qualifications

• Bachelor's or Master's in Computer Science, Engineering, Information Systems, or a related field
• 15+ years of experience in data architecture and cloud modernization
• Strong track record in designing modern data platforms across AWS, Azure, and GCP
• Demonstrated experience in data migration projects from legacy systems to cloud-native solutions
• Deep understanding of data modeling, governance, and modern data architectures