Our client, a global leader in technology and innovation, is renowned for creating groundbreaking products and experiences that touch millions worldwide. They are committed to pushing the boundaries of what’s possible, fostering a culture of creativity, and delivering unparalleled digital entertainment. Aquent, a proud partner to this industry giant, is seeking a visionary professional to join a dynamic team dedicated to one of the most beloved and popular gaming titles globally. This is an extraordinary opportunity to shape the future of data architecture for a game that inspires creativity and connects communities across the planet. You’ll be instrumental in crafting scalable data flows, authoritative models, and innovative solutions, directly empowering stakeholders to make impactful decisions with confidence. About the Role Join a renowned gaming studio’s Player and Data Analytics team, where you will shape the end-to-end data architecture for a highly acclaimed and widely popular gaming title. This role is critical in supporting the game by preparing and managing data for analytics, reporting, and downstream use across advanced analytics, marketing, and product systems. You will partner closely with data scientists, analysts, data engineers, and game teams, understanding their needs, aligning on definitions, and delivering solutions at the pace of the business. Your contributions will directly impact key projects, including the refactoring and redesign of the game’s commerce and economy systems, with a focus on improving how data supports monetization and creator‑driven experiences. You will also advance the overall analytics environment by designing scalable, future‑proof data solutions that better support the studio’s evolving needs, fostering a culture of continuous growth and problem‑solving. Key Responsibilities Build subject matter expertise of business and data domains to collaborate with data consumers and stakeholders, understanding their information needs and assisting with data access. Identify, define, and design features for the analytics environment to meet data consumers’ information needs. Map business opportunities to appropriate data architecture patterns and evolve data architecture as business strategies and technologies mature. Identify and analyze multi‑structured data or metadata from a variety of sources to select and model the best data that fulfills analytics requirements. Design adaptable data models, architect dataflows, and develop systems to deliver scalable solutions for analytics, processes, and machine learning. Define governed access patterns with specifications for implementation. Unify collections of data requirements for key data concepts across the enterprise, harmonizing business definitions and semantics, and specifying data designs expressed as business semantic models, data models, and lifecycle models. Guide the successful execution of data architecture vision through the adoption of governance principles and practices. Build and maintain Reference Model Architecture and Standards for communicating the direction of Information Architecture. What You’ll Bring Undergraduate degree AND 5+ years experience in data, analytics, or information architecture, or related software development work OR Graduate degree AND 3+ years experience in data, analytics, or information architecture or related software development work, or equivalent experience. 2+ years working as a Data Architect, Analytics Architect, Information Architect, or equivalent on large enterprise systems with a wide range of data sources. Demonstrated capability to assess complex systems and information landscapes, translating business concepts into coherent data and analytics architectures. Critical thinker and problem solver who brings a creative and open mindset to deliver high‑impact data products and analytics solutions. Strong data analysis and exploration skills to identify, select, and model data for analytics. Proficient with SQL. Working knowledge of Python. General video game domain knowledge. What Sets You Apart Polyglot data modeling knowledge and skills. Expert with SQL and intermediate Python skills for data transformation and automation. Experience building or managing video game commerce systems and economies. Experience leveraging advanced analytical products to accelerate analysis, improve data quality, and streamline delivery. Working knowledge of DevOps and DataOps. Compensation Compensation is based on several factors including, but not limited to, education, relevant work experience, relevant certifications, and location. Aquent is an equal‑opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. #J-18808-Ljbffr
Data & Analytics Architect [209933]
AQUENT
vancouver, vancouver
Published 19 days ago
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