Data Engineering Architect

📋 Description

• Collaborate with stakeholders to understand business requirements and translate them into data
• Collaborate with data scientists, analysts, and other stakeholders to define data requirements and
• Provide technical guidance and expertise to data engineering teams, promoting best practices and
• Oversee the implementation of the solution, ensuring that it is implemented according to the design
• Stay updated with emerging trends and technologies in data engineering, recommending and
• Conduct performance analysis and optimization of data engineering systems, identifying and

🎯 Requirements

• 9-12 years of work experience as a Data Engineering Architect or a similar role and strong
• Proven experience in using Microsoft ETL tools (Azure Databricks, Azure Data Factory, Data Lake and
• Strong understanding of data engineering concepts, including data modeling, ETL processes, data
• Expertise in designing and implementing scalable and efficient data processing frameworks.
• In-depth knowledge of various data technologies and tools, such as relational databases, NoSQL
• Experience in selecting and integrating appropriate technologies to meet business requirements and

🎁 Benefits

• Established global technology partner. Lingaro has been operating since 2008 and brings together
• Flexible collaboration model and working hours. Enjoy working from inspiring locations in line with
• A diverse, inclusive, and values-driven community.
• Autonomy to choose the way you work. We trust your ideas.