עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
מלאה
Required DATA ARCHITECT
As a Data Architect within our Data and AI Architects team, you will play a pivotal role in designing, implementing, and optimizing data solutions that drive innovation and enable intelligent decision-making across our gaming platforms.
Working closely with cross-functional teams, including product and project managers, Data and AI engineers, IT teams, you will ensure that our data infrastructure meets the scalability, performance, and security needs of our business. You will also address the unique challenges posed by our multi-studio environment, ensuring that solutions are flexible, easily integrated, and aligned with the companys strategic objectives.
You will collaborate with business stakeholders to understand their data needs and deliver solutions that drive business value.
Responsibilities:
Data Architecture Design
Define standards for data models, schemas, and taxonomies, ensuring their implementation aligns with our 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 our 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 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 our goals for scalability, reliability, and growth.
As a Data Architect within our Data and AI Architects team, you will play a pivotal role in designing, implementing, and optimizing data solutions that drive innovation and enable intelligent decision-making across our gaming platforms.
Working closely with cross-functional teams, including product and project managers, Data and AI engineers, IT teams, you will ensure that our data infrastructure meets the scalability, performance, and security needs of our business. You will also address the unique challenges posed by our multi-studio environment, ensuring that solutions are flexible, easily integrated, and aligned with the companys strategic objectives.
You will collaborate with business stakeholders to understand their data needs and deliver solutions that drive business value.
Responsibilities:
Data Architecture Design
Define standards for data models, schemas, and taxonomies, ensuring their implementation aligns with our 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 our 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 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 our goals for scalability, reliability, and growth.
Requirements:
Bachelors or Masters 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 our strategic goals.
Bachelors or Masters 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 our strategic goals.
This position is open to all candidates.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
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