Solutions Architect Data and Analytics

Hoya Surgical Optics; Frankfurt; Vor Ort; EUR 60.000 - 100.000; Vollzeit

Zusammenfassung

An established industry player is seeking a Solutions Architect for Data and Analytics. This pivotal role involves evaluating business needs, defining data standards, and implementing technology solutions. You will shape the data architecture framework, collaborate with various teams, and drive improvements in data management processes. If you are passionate about leveraging data to enhance business outcomes and thrive in a dynamic environment, this opportunity is for you. Join a company dedicated to innovation and excellence in the medical technology field, where your contributions will significantly impact the quality of life for millions.

Qualifikationen

• Multi-year experience as a Data Architect or similar role.
• Proven skills in data management and project management.

Aufgaben

• Define data architecture framework and standards for the organization.
• Translate business requirements into technical specifications.

Kenntnisse

Data Management

Data Governance

Data Architecture Design

ETL

Data Visualization

Predictive Analytics

Agile Methodologies

Microsoft Azure

Communication Skills

Analytical Skills

Ausbildung

Bachelor in Computer Science

Tools

Azure SQL

MSQL

Azure Data Lake

Databricks

Tableau

Jobbeschreibung

HOYA Surgical Optics (HSO) is the globally leading Preloaded Intraocular Lens (IOL) focused company that provides technologies and solutions that exceed expectations, enabling ophthalmic surgeons to focus on restoring sight. We are dedicated to improving the vision and quality of life for millions of people suffering from cataract, and helping them celebrate life visually.

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.

At HSO, People is the key factor to our success. 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.

HSO way of working

In fulfilling our roles, we are

1. Accountable for our own capabilities and development,
2. Focused on delivering results without excuses, and
3. Alive to the sensitivities, risk, and impact we have on others and work in a way that helps others do their work effectively.

We are looking for people who

1. See beyond themselves and are impact-focused,
2. Consider the needs, challenges, and objectives of every person with whom they interact, and
3. Exhibit positive reinforcement to help others succeed.

About the role

Job Title: Solutions Architect Data and Analytics

Works closely with and have impact on: Commercial Organization, Supply Chain, Quality Assurance

Reports to: Director Digital Solutions & Analytics

Function: Global IT

Work Location/Site: Frankfurt / HSOE

Role Overview

The Solutions Architect Data and Analytics evaluates the organization’s business needs for Data and Analytics solutions, defines 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.

Duties and Responsibilities

1. 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.
2. 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.
3. Provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture.
4. Translates business requirements into technical specifications, including data streams, integrations, transformations, databases, and data warehouses.
5. Leads brainstorming sessions to develop potential solutions for business needs or problems.
6. Analyzes the business impact that certain technical choices may have on business processes.
7. Identifies opportunities for process improvements. Notifies stakeholders about any issues connected to the architecture.
8. 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.
9. Supervises and guides development teams as necessary to develop scalable solutions and products.
10. Defines the reference architecture which development teams can follow to create and improve data systems.
11. Collaborates and coordinates with multiple internal departments, stakeholders, partners, and external vendors.
12. Continuously researches emerging technologies and proposes changes to the existing architecture.

Experience

1. Multi-year work experience as a Data Architect, Data Scientist, Data Analyst or similar role.
2. Proven experience with gathering and analyzing system requirements and managing projects.

Skills/Accreditations

1. Passion to work for a global medical technology organization.
2. Understanding of established data management and reporting technologies, and have some knowledge of columnar and NoSQL databases, predictive analytics, data visualization, and unstructured data.
3. Excellent data management, data governance, and technology know-how, including knowledge about the design of (service-oriented) architectures.
4. Understanding of the different types of agile principles, methodologies and frameworks, especially those designed to be scaled at the enterprise level.
5. Sound professional experience in the design, implementation and documentation of data architectures.
6. Knowledge of ETL, data mining, and segmentation techniques.
7. Knowledge of databases (Azure SQL, MSQL) data lakes (e.g., Azure Data Lake/Delta lakes), Processing tools (e.g., Databricks/HDInsight) and BI and Reporting tools (e.g., Tableau) or similar technologies.
8. Good working knowledge of Microsoft Azure Cloud and services.
9. Understanding of Enterprise Architecture frameworks (e.g., TOGAF/COBIT) and related tools like LeanIX.
10. Excellent analytical skills and a very quick grasp.
11. Independent way of working with high proactivity.
12. Excellent engagement skills and in particular steering the technical solution teams.
13. Excellent written, verbal, communication and presentation skills with the ability to articulate new ideas and concepts to technical and nontechnical audiences.
14. Ability to balance the long-term (“big picture”) and short-term implications of individual decisions and organization goals.

Academic Qualifications

1. Bachelor in Computer Science or Information Technology.

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We regret to inform you that only shortlisted applicants will be notified. Thank you for your kind understanding.