Enterprise Architect Data (m/f/d)

at  Exyte GmbH

YOUR VISION IS AMBITIOUS. JUST LIKE OURS.

Our people are our success. As one of us, you will contribute to engineering excellence for the high-tech markets of the future, including semiconductors, batteries, pharmaceuticals, biotechnology, and data centers. At Exyte, you will be part of a global community of challenge seekers who are ambitious and passionate about innovation. Together, we will build on our company’s long history and keep on leading the way to a better world.

CONTACT

You want to be part of the Exyte team? We are looking forward to receiving your application.
For further questions and information, please do not hesitate to contact Nazgul Schymon via E-Mail nazgul.schymon@exyte.net.
Exyte Management GmbH
Nazgul Schymon
Löwentorbogen 9b
70376 Stuttgart
Exyte is an Equal Employment Opportunity employer and is committed to equal opportunity and equal treatment. Therefore, Exyte Group provides equal employment opportunities to all qualified applicants regardless of ancestry, gender, sexual orientation, gender identity, race, color, religion, protected veteran or disability status, or genetic information

DISCOVER YOUR EXCITING ROLE

We are looking for a proactive and dynamic individual to join our team as an Enterprise Architect Data (m/f/d). As Enterprise Architect Data, you will play a key role in ensuring data quality, optimizing data pipelines, and leveraging data-driven insights to facilitate informed decision-making and enhance business efficiency and growth. You will be responsible for providing guidance and direction for the organization’s data practices, ensuring that data becomes a valuable asset in achieving strategic objectives.

EXPLORE YOUR TASKS AND RESPONSIBILITIES

• Develop and implement a robust enterprise data architecture strategy aligned with organisational goals
• Define and maintain data architecture, including data models, data flow diagrams and integration strategies to effectively support data-driven initiatives
• Oversee the design and optimisation of continuous integration and continuous delivery (CI/CD) pipelines for efficient and automated data delivery, integration and validation
• Implement data quality standards and processes to monitor, assess and improve data quality throughout its lifecycle to ensure high levels of accuracy and reliability
• Ensure data security measures are in place and compliance with relevant data protection regulations is maintained
• Drive innovation and best practice in data architecture and management, fostering a culture of data-driven decision-making across the organization
• Collaborate with cross-functional teams to extract actionable insights from data using advanced analytics and visualisation tools to support strategic decision-making