Playtika Data Architect 

Israel 

918883656

Data Architecture Design

• Define standards for data models, schemas, and taxonomies, ensuring their implementation aligns with Playtika’s architectural strategy.
• Design scalable, secure, and high-performance data architectures for structured and unstructured data.

Data Integration, Governance, and Optimization

• Lead data integration efforts across diverse sources, focusing on delivering quick, practical solutions that can be seamlessly integrated into Playtika’s existing ecosystem.
• Establish and enforce data governance frameworks, policies, and standards to ensure compliance and maintain high-quality, reliable data.
• Optimize data pipelines, ETL processes, and system performance to reduce complexity, enhance efficiency, and support the scalability of data operations.

Technology Innovation and Strategic Implementation

• Evaluate and recommend tools, platforms, and technologies to support data-driven decision-making, AI/ML initiatives, intelligent automation, and high-velocity data pipelines.
• Ensure seamless integration with existing Playtika systems and pipelines to maintain efficiency and reliability.
• Identify opportunities for innovation in data and AI by leveraging cutting-edge technologies.
• Align data architecture and solutions with Playtika’s goals for scalability, reliability, and growth.

• Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field.

• 10+ years of experience in data architecture, data engineering, or a related role, preferably in large-scale, complex environments.
• Experience working with enterprise-level data ecosystems and multi-team environments.

• Proficiency in designing and managing scalable data solutions, including data lakes, data warehouses, and real-time pipelines.
• Strong experience with cloud platforms and data warehouse technologies.
• Expertise in ETL development, data integration, and pipeline optimization.

• Deep knowledge of database technologies and advanced SQL for querying and optimization.

• Proficiency in programming languages such as Python, Java, or Scala.

• Understanding of AI/ML workflows and their data dependencies.
• Ability to integrate data infrastructure with AI and advanced analytics platforms.

• Knowledge of data governance frameworks, policies, and tools to ensure quality and compliance.
• Understanding of data privacy regulations (e.g., GDPR, CCPA) and best practices for securing sensitive data.

• Proven ability to collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholders.
• Strong problem-solving and analytical skills with a focus on practical, scalable solutions.
• Adaptability in a fast-paced, evolving business environment.

Success Criteria

• Successful implementation of scalable and secure data architectures that meet business needs.
• Effective collaboration with cross-functional teams to deliver data solutions that drive business value.
• Continuous improvement of data governance and optimization processes to ensure high-quality, reliable data.
• Innovation in data and AI technologies that align with Playtika’s strategic goals.