Staff Architect II, Software & Data Architecture

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Who you'll work with

You'll join Bain's NextGen Software Solutions (NGSS) team, where we build and support software products that help power the firm's work.

As a Staff Architect II, you'll be the technical owner of aCoro product workstream within NGSS. The Coro team is focused on building and scaling Bain's proprietary data and product ecosystem. We develop and manage platforms such as BizMap and Helix, which power data-driven insights and solutions across Bain's commercial and private equity practices.

Where you'll fit within the team

As a Staff Architect II, you'll play a hands-on engineering leadership role - writing code, setting technical standards, reviewing the team's work, and driving the architectural direction and delivery of your workstream.

You'll partner closely with Product Managers to translate the product roadmap into actionable engineering plans, mentor engineers, remove technical blockers, and serve as the primary technical liaison between product leadership and Bain's broader platform teams. You'll also lead the workstream's operational excellence by overseeing production support, triaging system issues, providing Level 1 and Level 2 troubleshooting, and managing code deployments.

What you'll do

Architecture & Technical Governance

• Provide technical leadership, governance and architectural direction to internal and external development teams on the design, development, implementation, and deployment of highly usable and scalable software
• Participate in system coding and engineering alongside development teams, including performing formal code reviews and providing feedback on the structure, maintainability and quality of code
• Produce, communicate and maintain technical designs, architecture artifacts, best practice, and principles for technical and executive-level audiences
• Define and document the workstream architecture, ensuring alignment with the shared platform design and Bain-wide Azure, make key design decisions on data flow, service boundaries, and integration patterns
• Collaborate with AI Engineers to design LLM orchestration and tool-calling architecture for product-specific agents, ensuring reliability, maintainability, and cost efficiency at scale