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Data Architect
3 months ago
- Design advanced conceptual, logical and physical data organizations, models, repository, dashboards, reports within a complete functional and technical architecture.
- Develop and implement advanced statistical models and machine learning algorithms to solve business problems.
- Partner with other architects, infrastructure and software experts to define metadata layers, technical strategy and optimal integration within existing client IT landscape.
- Translate to technical designers or developers designed solution, review proposed solution and optimize it when required.
- Design, develop and continuously improve supporting activities (automation of versioning and release management, scheduling, security models, impact assessment of new changes )
- Be accountable for the end-to-end solution
Qualifications:
- Masters or Ph.D. degree in Computer Science, Data Science, Statistics, Engineering, or a related field.
Experience:
- 5+ years of experience in data architecture, data engineering, or a related field.
- Proven experience leading data projects and managing teams.
- Extensive experience with big data platforms (cloud and on-premise), data modeling, data analysis, statistical modeling, and machine learning.
Technical Skills:
- Proficiency in programming languages such as Python, R, or Scala.
- Expertise in data processing frameworks like Apache Spark, Hadoop, or similar.
- Proficiency with data modeling tools.
- Strong SQL skills and experience with relational and NoSQL databases.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
- Advanced knowledge of data visualization tools like Tableau, Power BI, or similar.