B
Not Specified Permanent

New Brunswick, New Jersey · USA job

Senior Platform Architect

Bessemer Trust

New Brunswick, New Jersey

Job description

Overview

As Platform Architect you will shape an enterprise-grade, reusable platform across engineering, infrastructure, data, and security. You'll articulate a clear platform vision, drive platform-first thinking, and influence senior leaders without formal authority. You'll design AWS-based patterns, landing zones, and scalable services that prevent tool fragmentation and accelerate development at scale. This role offers a chance to connect technical strategy with business outcomes and measurable ROI.

Compensation / Benefits
  • 401(k) with profit sharing
  • medical, dental, and vision plans
  • paid time off and holiday leave
  • hybrid work environment
  • tuition reimbursement support
  • life insurance and disability coverage
Responsibilities
  • Define the enterprise platform vision across developer experience, cloud infrastructure, data services, and AI capabilities
  • Design shared services with standard interfaces and reusable components, aligning with security and compliance
  • Evolve the developer platform experience including CI/CD, environment provisioning, and automation
  • Lead AWS-centric platform leadership with landing zone design and account/VPC patterns
  • Enable AI-driven applications with scalable platform services and governed integrations
  • Provide cost-aware architectural guidance and partner with FinOps to optimize platform spend
  • Influence across engineering, infrastructure, data, and security without direct delivery authority
  • Measure success by platform adoption, reduced redundant tools, faster environments, and cost efficiency
Key requirements
  • 15+ years in platform or enterprise architecture
  • Deep hands-on AWS experience including landing zones and cloud-native patterns
  • Strong CI/CD, developer platform design, and DevEx tooling experience
  • Familiarity with data platform concepts (environment data management, masking, synthetic data)
  • Experience with AI/ML infra and AWS agentic patterns
  • Proven ability to influence large, matrixed organizations without direct authority
  • Executive-level communication and storytelling skills for architecture reviews and leadership discussions
  • Comfort operating in ambiguity and driving adoption through credibility and collaboration
  • Executive-level communication
  • Cross-functional collaboration
  • Credibility and influence
  • AWS (breadth of services, landing zones)
  • CI/CD ecosystems and DevEx tooling
  • Data platform concepts (data management, masking, synthetic data)

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