Data Architect

Who We Are

At Kyndryl, 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.

The Role

Are you ready to join a team that is passionate about solving complex business problems with cutting-edge technology? Kyndryl is seeking a talented Data Architect who will take charge of all things data and information, transforming them into remarkable solutions that drive our customers’ success. Get ready to unleash your creative prowess and shape the future of data management. 

As a Data Architect with Kyndryl, you will play a vital role in managing all aspects of data and information, from understanding business requirements to translating them into data models scheme design and data architectures. Your expertise will be critical in guiding the full IT data lifecycle governance , including acquisition, transformation, classification, storage, presentation, distribution, security, privacy, and archiving to ensure data is accurate, complete and secure.

You will work closely with our customers to design solutions and data architectures that address their unique business problems, considering their needs and constraints while applying your industry knowledge and expertise. You will have the opportunity to work with diverse technologies, like databases (relational, hierarchical and object-oriented), file systems and storage management, document imaging, knowledge and content management, taxonomies and business intelligence. All relevant for designing business-driven IT solutions that meet data requirements and incorporate cloud solutions for different types of storage needs.

As a Data Architect, you will have the chance to develop, and design centralized or distributed systems that both address user requirements and perform efficiently and effectively. You will ensure the viability of proposed solutions by conducting solution assurance assessments and work closely with the project team and key stakeholders to ensure that the final solution meets all customer requirements and expectations.

At Kyndryl, you'll be part of a dynamic, forward-thinking team where creativity knows no bounds. Together, we'll shape the future of data architecture and revolutionize the way businesses thrive. Apply now and take the first step towards an exciting and rewarding career with Kyndryl.

Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career, from a Junior Architect to Principal Architect – we have opportunities for that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. 

Who You Are

You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others.

Required Technical and Professional Expertise 

• Experience in Dimensional Modelling for Enterprise DWH - Star Schema, Slowly Changing Dimensions, Transactional Facts, Snapshot Facts. 
• Experience developing Data Marts and/or Semantic Layers based on end user requirements 
• Expertise in Logical and Physical data modelling using ERWin or other data modeling tool like SAP Powerdesigner; ERwin 
• Experience in design and implementation of DWH data model in the Banking Industry preferred. 
• Experience with any Industry Data Models (Teradata, FIBO, IBM, PI etc) Experience leading design and requirements workshops with business users  
• Experience designing / reverse engineering data models from existing DWH and ODS Systems 
• Experience Implementing an End-to-End DWH model on any RDBMS/MPP system (One or more of Greenplum, Oracle, Teradata, Redshift, DB2, Snowflake etc.) 
• Expertise in SQL  
• Strong knowledge in data modeling, database design and data management best practice 
• Ability to architect, design and implement infrastructure and platforms from a data and storage perspective leveraging Google/Azure/AWS cloud native services  
• Experience with programming languages, such as Python, C, C++ and Java 
• Reference to