Solutions Architect - Games

Role overview Guide customers’ technical strategy for data and AI platforms, from early discovery through production deployment and broader adoption. You’ll advise senior technical stakeholders, design scalable architectures, and coordinate specialists and partners to address complex needs. This is a remote role for candidates currently residing in California, Arizona, Oregon, or Washington.

Responsibilities - Own technical strategy for assigned accounts, from discovery through deployment and increased platform use. - Lead architecture discussions and design production-grade systems for data engineering, machine learning, AI, and real-time analytics. - Advise customer architects, engineering leads, and directors through design reviews, whiteboarding, and trade-off analysis. - Build and present technical solutions in competitive situations, and coordinate internal specialists and partners to deliver them. - Develop a technical specialization and share expertise with the broader team. - Provide structured customer feedback to inform product direction and highlight competitive gaps.

Requirements - 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role. - Strong Python and SQL skills, including live coding, debugging, and solution development. - Deep knowledge of distributed data systems, including scalable pipelines, streaming, lakehouse patterns, and cloud-native platforms. - Experience deploying production systems on AWS, Azure, or GCP, including infrastructure, security, and governance considerations. - Ability to lead technical discussions and explain architecture in terms useful to technical and executive audiences. - A track record of driving platform adoption, plus a bachelor’s or master’s degree in computer science, engineering, or a quantitative field, or equivalent experience.

Nice to have - A developing specialization such as streaming, machine learning and AI, data governance, or migrations. - Relevant platform certifications, familiarity with competing data platforms, experience at a data or cloud provider, or industry expertise in areas such as finance, healthcare, retail, or media.

Benefits and work setup Remote work is available only to candidates in California, Arizona, Oregon, or Washington. Compensation information lists a $180,000–$247,500 pay range across the stated location zones; eligible packages may also include a performance bonus, equity, and benefits.