Bet3651

Bet3651

Enterprise Software Architect

Denver, Colorado, United States

Sponsorship not specified$150k-$185kDetected 24 days ago
Distributed SystemsGCPLeadershipCommunication

About the role

  • As an Enterprise Software Architect you will be responsible for the ongoing design of our revolutionary Sports Betting and Trading platform.
  • This pivotal role is at the heart of our innovation efforts, ensuring that our new offerings are not only groundbreaking but also scalable, maintainable, and seamlessly integrated with our overarching platform architecture vision.

Responsibilities

  • Spearheading the architectural design and strategy for our next-generation US Sports Betting and Trading platform, serving as a primary initiator and visionary behind its development.
  • Evaluating the impact of architectural solutions on the broader technology ecosystem, engaging with all relevant stakeholders to ensure a holistic understanding and garnering comprehensive support.
  • Mitigating technical risks by initiating and overseeing Proofs of Concept (POC) to validate and refine architectural decisions.
  • Developing and maintain strategic artifacts such as Target Operating Models, Roadmaps, and Governance Frameworks to guide and inform the architectural journey.

Requirements

  • Exceptional communication skills, capable of managing multiple streams of activity and adept at shifting focus as required.

Compensation

  • $150k-$185k

Benefits

  • Crafting vision documents and other artifacts to effectively communicate and champion the architecture, facilitating the widespread adoption of the architectural strategy.
  • Articulating and advocate for the architectural vision to Senior Management and Technical Leadership teams, ensuring alignment and securing organizational buy-in.
  • Providing rigorous support and governance to ensure that both the technical and engineered solutions are in strict adherence to the architectural vision.

This listing is sourced directly from Bet3651's careers page and normalized into a canonical job model.