Senior Data & Cloud Architect Leader

Kyndryl; Durham (NC); On-site; USD 138,000 - 263,000; Full time

Benefits offered by this job

Medical and dental benefits

Retirement benefits

Paid leave & PTO

Disability insurance

Job summary

Kyndryl is seeking a Managing Data Architect— Data & Cloud Lead to own data strategy, architecture, and governance for diverse client environments. You will design scalable data solutions across cloud platforms and guide data lifecycle management in collaboration with cross-functional teams.

You will translate business requirements into robust data models, lead data architecture efforts, and ensure data quality, security, and compliance across storage, BI, and analytics domains.

Qualifications

• 10+ years of experience with cloud-based data platforms, data integration and governance on Azure, AWS, or GCP.
• Strong knowledge in data modeling, database design and data management best practices.
• Ability to architect, design and implement data infrastructure and storage solutions.
• Experience with programming languages such as Python, C, C++, and Java.

Responsibilities

• Lead data architecture and governance across client environments.
• Translate business requirements into data models and architectures.
• Collaborate with storage, BI, security and compliance teams to ensure data quality and security.

Skills

Cloud data platforms

Data modeling

Data governance

Python

C

C++

Java

Education

Bachelor's or Master's degree in Computer Science, Information Systems, Security, or a related field

Tools

Relational databases

Hierarchical databases

Object-oriented databases

File systems

BI tools

Job description

Kyndryl is seeking a Managing Data Architect— Data & Cloud Lead to own data strategy, architecture, and governance for diverse client environments. You will design scalable data solutions across cloud platforms and guide data lifecycle management in collaboration with cross-functional teams.

You will translate business requirements into robust data models, lead data architecture efforts, and ensure data quality, security, and compliance across storage, BI, and analytics domains.