We are seeking a highly skilled and experienced Data Architect to join our dynamic team. As a Data Architect, you will play a crucial role in designing, implementing, and managing our cloud-based data architecture and drive the best practices on data modeling. The ideal candidate will have a strong background in data engineering, cloud computing, and a deep understanding of data management best practices. You will collaborate with cross-functional teams to develop scalable and efficient solutions that meet the organization's data requirements.

At Betsson, we are dedicated to delivering the best customer experiences in the iGaming industry. As a market leader, we offer online gaming products in multiple markets, driving innovation and excellence across our platforms. Join our passionate team as we build and maintain a cutting-edge, scalable data infrastructure supporting multiple brands and jurisdictions. Your work will directly impact users and contribute to our ongoing success in the competitive market. 

Cloud Data Strategy: 

• Develop and implement a comprehensive cloud data strategy aligned with the organization's business goals and objectives.
• Evaluate and recommend appropriate cloud technologies and services for data storage, processing and analytics.

Data Modeling and Design:

• Design and implement robust and scalable data models for efficient storage, retrieval, and analysis of structured and unstructured data.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure the architecture supports analytical and reporting needs.

Data Integration:

• Architect and implement data integration pipelines to ingest, transform, and load data from various sources into the cloud data platform.
• Ensure seamless and efficient data flow across different systems and platforms.
• Architect and Implement Real Time data Pipelines, supporting real-time analytics and machine learning models for real-time inference.

Security and Compliance:

• Implement and enforce data security and privacy measures to ensure the confidentiality and integrity of sensitive information.
• Stay abreast of industry best practices and compliance requirements related to data management in the cloud.

Performance Optimisation:

• Continuously monitor and optimize the performance of data storage and processing systems to ensure maximum efficiency and cost-effectiveness.
• Implement caching, indexing, and other performance tuning techniques to enhance overall system performance.

Collaboration and Communication:

• Collaborate with cross-functional teams, including software developers, system administrators, and business stakeholders, to understand data requirements and provide technical guidance.
• Communicate complex technical concepts to non-technical stakeholders effectively.

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• Proven experience as a Data Architect
• In-depth knowledge of cloud platforms (AWS and/or Snowflake) and their data-related services.
• Strong proficiency in database technologies, data warehousing, and big data solutions.
• Experience with data modeling tools and techniques.
• Experience with streaming and real-time data pipelines and Analytics
• Familiarity with data governance, security, and compliance best practices.
• Excellent problem-solving and communication skills.

• Fitness-wellness allowance  🧗‍♂️
• Company mobile phone for private use with 100 GB  📱
• Annual HUF devaluation compensation  💡
• Hybrid model: 3 days in the office 🏢  & 2 days from home  🏠
• Private Health Insurance  🩺
• Career development  📈
• Technical and soft-skill training opportunities 🎓
• Breakfast, fruits & lunch 🍎
• Team building events  🥳

If you are a passionate and skilled Cloud Data Architect with a strong background in designing and implementing cloud-based data solutions, we invite you to apply and contribute to the success of our organization's data architecture.

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If you are interested to learn more, please apply with your CV in English.

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