Director of Data Architecture and Cloud Strategy

Insight Global (United States); Las Vegas (NV); On-site; USD 180,000 - 260,000; Full time

Job summary

Insight Global is seeking a Director of Data Architecture to lead the strategy, design, and governance of an enterprise data architecture across Databricks and AWS. This role will establish architecture standards and best practices, supporting Data Engineering, BI, Data Science, AI, and ML initiatives.

You will partner with technical and business leadership to build secure, scalable data solutions while leading and developing a high-performing data architecture team in a complex environment.

Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field.
• 10+ years of experience in Data Architecture or Senior Data Engineering in cloud environments.
• 3+ years of technical or team leadership experience.
• Deep expertise with Databricks, Delta Lake and modern cloud data architecture.
• Strong knowledge of AWS services: storage, compute, IAM, networking, secure access.
• Experience designing scalable enterprise data architectures across complex or decentralized orgs.
• Strong data governance, data quality, metadata management, and data lifecycle principles.
• Proven ability to establish architectural standards and influence multiple teams.
• Strong communication, documentation, and mentoring skills.
• Experience building and leading high-performing tech teams.

Skills

Databricks

Delta Lake

AWS

Data governance

Data quality

Metadata management

Mentoring

Leadership

Communication

Documentation

Education

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

Tools

Unity Catalog

AI/ML platforms

Job description

Insight Global is seeking a Director of Data Architecture to lead the strategy, design, and governance of an enterprise data architecture across Databricks and AWS. This role will establish architecture standards and best practices, supporting Data Engineering, BI, Data Science, AI, and ML initiatives.

You will partner with technical and business leadership to build secure, scalable data solutions while leading and developing a high-performing data architecture team in a complex environment.