HSO empowers cataract surgeons all over the world with innovative ophthalmic devices and services, with an attention to detail that helps them achieve better surgical outcomes and better practice results. Our commitment to delivering these results is grounded upon a quality management system that is continuously improving to meet changing global regulatory requirements and our entrepreneurial drive to be the brand of first choice.
We aim to create a conducive work environment for our employees around the globe, and to promote an inclusive culture based on our core values – Excellence, Passion, Innovative, Collaboration, and Accountability.
Solutions Architect Data and Analytics
Function: Global IT
The Solutions Architect Data and Analytics evaluates the organization’s business needs for Data and Analytics solutions, define data standards and principles for HSO and determines technology solutions to support those needs leveraging software, hardware or infrastructure. S/he is responsible for the development of the overall vision that underlies the projected solution in support of business goals and executes that vision through technical implementation
Defines the data architecture framework, standards, and principles, including modeling, metadata, security, reference data such as product codes and client categories, and master data such as clients, vendors, materials, and employees.
Defines data flows, i.e., which parts of the organization generate data, which require data to function, how data flows are managed, and how data changes in transition.
Translates business requirements into technical specifications, including data streams, integrations, transformations, databases, and data warehouses.
Conducts a system architecture evaluation and collaborates within the IT organization to improve the architecture.
Creates and leads the process of integrating IT systems for them to meet the organization’s requirements.
Defines the reference architecture which development teams can follow to create and improve data systems.
Multi-year work experience as a Data Architect, Data Scientist, Data Analyst or similar role.
Proven experience with gathering and analyzing system requirements and managing projects
Passion to work for a global medical technology organization.
Understanding of established data management and reporting technologies, and have some knowledge of columnar and NoSQL databases, predictive analytics, data visualization, and unstructured data.
Excellent data management, data governance, and technology know-how, including knowledge about the design of (service-oriented) architectures.
Sound professional experience in the design, implementation and documentation of data architectures.
Knowledge of ETL, data mining, and segmentation techniques.
Knowledge of databases (Azure SQL, MSQL) data lakes (e.g., Azure Data Lake/Delta lakes), Processing tools (e.g., Tableau) or similar technologies.
Bachelor in Computer Science or Information Technology
Company pension scheme
~30 days vacation + 2 special vacation days on 24.Benefits card and meal vouchers
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Thank you for your kind understanding.