
Data Architect
- Malta Island
- Permanent
- Full-time
- 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.
- 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.
- 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.
- 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.
- 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.
- 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 🥳
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