Data & Analytics Architect – Gaming Commerce & Monetization

Who is Blueprint? 

We are a technology solutions firm headquartered in Bellevue, Washington, with a strong presence across the United States. Unified by a shared passion for solving complicated problems, our people are our greatest asset. We use technology as a tool to bridge the gap between strategy and execution, powered by the knowledge, skills, and the expertise of our teams, who all have unique perspectives and years of experience across multiple industries. We’re bold, smart, agile, and fun. 

What does Blueprint do? 

Blueprint helps organizations unlock value from existing assets by leveraging cutting-edge technology to create additional revenue streams and new lines of business. We connect strategy, business solutions, products, and services to transform and grow companies. 

Why Blueprint? 

At Blueprint, we believe in the power of possibility and are passionate about bringing it to life. Whether you join our bustling product division, our multifaceted services team or you want to grow your career in human resources, your ability to make an impact is amplified when you join one of our teams. You’ll focus on solving unique business problems while gaining hands-on experience with the world’s best technology. We believe in unique perspectives and build teams of people with diverse skillsets and backgrounds. At Blueprint, you’ll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions. We guarantee you won’t find a better place to work and thrive than at Blueprint. 

In This Role

In this role, you will support a major gaming organization by designing scalable data and analytics architecture that enables stronger reporting, AI/ML use cases, marketing insights, product decisions, and monetization strategy. You will work closely with data scientists, analysts, data engineers, product stakeholders, and business teams to understand data needs, align definitions, improve data access, and deliver high-impact analytics solutions.

This role will contribute to the redesign and refactoring of commerce and economy-related data systems, with a focus on improving how data supports monetization, creator-driven experiences, and downstream business decision-making. The ideal candidate will bring strong data architecture experience, critical thinking, SQL expertise, Python knowledge, and the ability to connect technical data solutions to measurable business outcomes.

Responsibilities

• Design and maintain scalable data architecture, data flows, and analytics models that support reporting, AI/ML, marketing, product, and business use cases.
• Partner with data consumers and stakeholders to understand information needs, define requirements, and support governed access to trusted data.
• Build subject matter expertise across business and data domains to improve data usability and stakeholder decision-making.
• Identify, define, and design features for the analytics environment that meet evolving business and technical needs.
• Map business opportunities to appropriate data architecture patterns and evolve the architecture as strategies, systems, and technologies mature.
• Analyze structured, semi-structured, and metadata sources to identify and model the best data for analytics requirements.
• Design adaptable data models, architect dataflows, and develop systems that support scalable analytics, operational processes, and machine learning.
• Define governed data access patterns and create specifications for implementation.
• Harmonize business definitions, data requirements, semantic models, lifecycle models, taxonomies, and enterprise data concepts.
• Support adoption of data governance principles and best practices.
• Build and maintain reference architecture, standards, and documentation to communicate data architecture direction.
• Contribute to commerce, economy, monetization, and creator-experience data initiatives within a large-scale gaming environment.

Required Qualifications

• Undergraduate degree and 5+ years of experience in data architecture, analytics architecture, information architecture, software development, or a related field; or graduate degree and 3+ years of relevant experience; or equivalent experience.
• 2+ years of experience as a Data Architect, Analytics Architect, Information Architect, or equivalent role supporting large enterprise systems.
• Experience working with a wide range of data sources across complex data environments.
• Strong ability to assess complex systems and translate business concepts into clear data and analytics architectures.
• Strong critical