62,800 €

Median Base Salary

How much does a Data Architect make in Lettonie ?

The base salary for a Data Architect in Lettonie is 62,800 €. Also known as: Data Systems Designer, Database Systems Analyst, Data Solutions Architect, Database Design Architect.
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62,800 €

Median Base Salary (percentile 50th)

46 observations

Fair Confidence

13,200 € Bonus per year

34,500 € of Stock

Base salary varies with experience. Register at TalentUp.io platform to learn about associated salaries based on seniority and percentiles. (Updated: March 9, 2024)

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17000 €

Min salary

103800 €

Max salary

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👤 Data Architect in 📍 Lettonie

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Carles Font

CEO and Partner | Q-tech

Responsibilities: • Design and develop data architectures, databases, and processing systems. • Create blueprints for data management systems to integrate, centralize, protect, and maintain the data sources. • Ensure the architecture supports business requirements. • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. • Work with other IT team members and managers to determine data requirements and create the appropriate databases to meet these needs. • Develop set processes for data mining, data modeling, and data production. • Monitor system performance and identify problems that arise. • Respond to and resolve database access and performance issues. Requirements: • Bachelor’s degree in Computer Science, Engineering, or a related field. • Proven experience as a Data Architect, Data Scientist, Data Analyst, or similar role. • In-depth understanding of database structure principles. • Knowledge of data mining and segmentation techniques. • Proficiency in visualizing data patterns, trends, and making predictions for future. • Strong analytical skills and problem-solving aptitude. • Attention to detail. • Ability to work in a fast-paced environment and manage multiple tasks. • Excellent verbal and written communication skills. Preferred Skills: • Familiarity with data visualization tools. • Project management skills. • Knowledge of data warehousing solutions. • Strong organizational and leadership skills. • Ability to explain complex systems in simple terms. • Ability to work independently and with team members from different backgrounds. • High level of proficiency in creating and maintaining databases. • Strong understanding of networks and data distribution. • Ability to work on multiple projects simultaneously and prioritize tasks based on business needs. • Strong decision-making skills.',

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