Data & Analytics Architect – Gaming Commerce & Monetization

Bpcs

Remote, US
Base: $130,000–$140,000 py (washington state); bon...
Remote
5+ years data architecture experience
Strong sql proficiency required
Python knowledge for data workflows
Bpcs is seeking a Data & Analytics Architect to support a major gaming organization by designing and implementing scalable data architecture that enhances reporting, AI/ML applications, and monetization strategies. The ideal candidate will possess strong experience in data architecture, SQL proficiency, and a background in the gaming industry

Job Summary

  • The role involves designing scalable data architecture to support reporting, AI/ML, marketing insights, and monetization strategy within a major gaming organization.
  • Candidates will partner with data scientists and stakeholders to redesign commerce and economy-related data systems for improved decision-making.
  • Blueprint offers a comprehensive benefits package including medical, dental, vision, 401k, competitive PTO, and parental leave.

Matching Summary

Match Score: 85

Bpcs is seeking a Data & Analytics Architect to support a major gaming organization by designing and implementing scalable data architecture that enhances reporting, AI/ML applications, and monetization strategies. The ideal candidate will possess strong experience in data architecture, SQL proficiency, and a background in the gaming industry.

Salary

Base: $130,000–$140,000 per annum (Washington State); Bonus/Equity: Not specified; Benefits: Medical, dental, vision, 401k, PTO, parental leave

Skills & Requirements

Must-have

  • 5+ years data architecture experience
  • Strong SQL proficiency required
  • Python knowledge for data workflows
  • Experience with complex data environments
  • Understanding of gaming economy systems

Nice-to-have

  • Polyglot data modeling experience
  • AI-enabled tools usage
  • DevOps and DataOps familiarity
  • Creator-driven business outcomes focus
  • Advanced Python skills preferred

Key Requirements

  • Undergraduate degree with 5+ years experience or graduate degree with 3+ years
  • 2+ years as Data Architect or equivalent in large enterprise systems
  • Proficiency in SQL and working knowledge of Python

Work Rights

Not specified

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