Senior Lead, Data Architecture

Why Kyndryl
Kyndryl is a market leader that thinks and acts like a start-up. We design, build, manage, and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl

We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers, and our communities. We invest heavily in you - not only through learning, training, and career development, but also through the flexible working practices and stellar benefits that help you grow and progress long-term. And we give back - from planting 90,000 trees in our first 3 months as part of our One Tree Planted initiative to the Corporate Social Responsibility and Environment, Social and Governance practices embedded within everything we do, we are committed to powering human progress in an ethical, sustainable way.
Your Role and Responsibilities
Focuses on the elements required to manage all aspects of data and information (both structured and unstructured) from understanding business requirements to logical and physical design. This role spans the full information management lifecycle from acquisition, through cleanse, transform, classify and storage to presentation, distribution, security, privacy and archiving. Key interests include databases (relational, hierarchical and object-oriented), file systems and storage management, document imaging, knowledge and content management, taxonomies and business intelligence.

• Use Architectural Modeling Techniques
• Plan Architectural Aspects of Project
• Perform Architectural Asset Development & Reuse
• Lead in Architectural Strategic Direction
• Develop Architectural Decisions
• Develop Architecture
• Design Information System Architecture
• Apply Architectural Thinking
• Apply Architectural Methods
• Advise on Database Performance/Tuning/Measurement
• Manage Client Experience
• Use Oral Communication Skills
• Use Written Communication Skills

• Minimum years of experience: 8 to 10 years experience in data architecture, data modelling, strategy
• Mandatory skills: Enterprise data strategy, data modelling, data governance, business knowledge implementing data platforms