Data Architect Lead

7 dni temu


Warszawa, Mazovia, Polska Randstad Polska Sp. z o.o. Pełny etat

Join a leading recruitment agency as a skilled Data Architect, where you will have the opportunity to shape data architecture in a dynamic environment and make a real impact on systems and processes.

About the Role

This is a challenging position that requires experience in database design, data integration, and performance optimization. You will be responsible for developing and implementing a comprehensive data architecture strategy, covering data models, databases, and integration processes.

The ideal candidate should have at least 10 years of experience in data architecture and database engineering. Strong expertise in SQL, NoSQL, and data warehousing is required. Proficiency in data modeling, optimization, and indexing techniques, as well as experience with data integration, ETL processes, and data synchronization are also essential.

In this role, you will work closely with IT teams, data analysts, and developers to deliver the best data solutions. The ability to stay up to date with emerging data technologies and recommend innovative solutions is highly valued.

Key Responsibilities
  • Develop and implement a comprehensive data architecture strategy
  • Design and manage database systems to ensure performance, scalability, and security
  • Create and maintain data models based on best practices for normalization, indexing, and optimization
  • Establish and enforce data governance policies to ensure data quality, compliance, and security
  • Oversee data integration processes, including ETL pipelines and synchronization mechanisms
  • Monitor and optimize database performance, addressing bottlenecks and improving queries
  • Ensure system compliance with data protection regulations (e.g., GDPR, HIPAA)
Requirements
  • Bachelor's or Master's degree in Computer Science, Information Systems, or a related field
  • At least 10 years of experience in data architecture and database engineering
  • Strong expertise in SQL, NoSQL, and data warehousing
  • Proficiency in data modeling, optimization, and indexing techniques
  • Experience with data integration, ETL processes, and data synchronization
  • Knowledge of data governance, security, and compliance standards
  • Familiarity with cloud-based data solutions (AWS, Azure, Google Cloud) is a plus

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