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Architect (gn) Data & Analytics

2 months ago

London, UK, United Kingdom SoftwareONE Full time

Every day, 9.000+ SoftwareOne colleagues care for demanding business challenges with intelligence and grit. And every day, 400+ Professionals in 20+ countries build and operate the systems that run SoftwareOne. Those 400+ individuals deliver 24/7 support through different time zones and work in a hybrid Multi-Cloud environment (AWS, Azure). This team is called "IT & Solutions" (formerly BUSINESS IT) and is leading SoftwareOnes internal transformation by rethinking traditional IT and business operations, while driving innovation and efficiency for its thousands employees worldwide. #DrivenToDeliver #IgniteTheMagic

The role

Erdal Akbulut* is the Hiring Lead you`ll mainly talk to when it comes to more details about the role, environment of work and career perspectives. Erdal summarized the role as follows:

• Responsible for crafting the data architecture strategies and standards while supporting Data & Analytics vision and strategy.

• Collaborate with Enterprise and Solution Architects, Data Engineers, Data Analysts and Developers, and the Data Governance, Quality and Master Data Teams

• Establish and document data architecture standards and guidelines.

• Design and record data models, elements, and flows.

• Ensure scalable, secure, and efficient data solutions.

• Support data access and usage across the organization.

• Improve internal data assets with external sources.

• Supervise and improve data architecture performance.

What we need to see from you

To excel in this role, you should have:

• 10+ years in data architecture and integration, including data modeling, data security, and data analytics.

• Ability to showcase understanding of data architecture patterns for transactional and analytical data.

• Extensive knowledge of Cloud Data Platforms (Azure, AWS), SQL, ETL, API, and other data integration tools and techniques.

• Experience in designing and implementing data architectures and integrations for various data domains.

• Good communication and presentation skills, intercultural intelligence, and the ability to convey sophisticated technical concepts to both technical and non-technical audiences.

• Business proficient level of English.

• Passion, curiosity, and enthusiasm for data and its value for the business.

• Strong analytical, problem-solving, and decision-making skills.

• Planning and coordination skills, capable of delivering results in a fast-paced and agile environment.

• Structured, problem solving approach with a focus on continuous improvement.

• High level of self-motivation, goal orientation, work independently and assume ownership.