Solution Architect

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The Solution Architect for Data Analytics will be responsibility for the implementation of Data & Analytics solutions based on our modern data platform. The Solution Architect will work closely with stakeholders across the organization to translate business needs into robust data and analytics solutions, ensuring seamless data integration, governance, and analytics capabilities.

MAIN RESPONSIBILITIES AND ACTIVITIES

• Ownership of requirements management and conceptual design for new Data & Analytics solutions.
• Coordination of work packages and alignment with relevant business and technical stakeholders, as well as requirement owners.
• Applying the approved and established architecture guidelines for the overall architecture and the data Lakehouse.
• Contribution to Data Governance initiatives.
• Ensuring the implementation of relevant data security and privacy aspects, ensuring compliance with legal regulations.
• Providing support and acting as the central point of contact for developed Data & Analytics solutions, including 2nd-level support for power users.
• Strong analytical skills with the ability to solve complex problems and thrive in a dynamic work environment.
• Active participation in shaping the Data & Analytics strategy.

EXPERTISE AND SKILLS

• 3-5 years of professional experience as “Solution Architect”, “Data Analyst”, “Requirement Engineer" or other data related functions.
• Solid understanding and experience of modern Data & Analytics technologies (e.g. Databricks) and data architecture (e.g. data Lakehouse, medallion architecture, etc.).
• Extensive experience with leading cloud platforms such as Azure, with a focus on leveraging their data services to optimize architecture and solutions.
• Basic knowledge of data management and Data Governance.
• Fundamental understanding of data security, privacy, and legal regulations (e.g., GDPR, EU Data Act).
• Demonstrated experience in agile ways of working, with the ability to work with cross-functional teams in iterative processes.
• Advanced English level.

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Information Technology
• Industries Manufacturing

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