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Enterprise Architect - Infrastructure and Cyber Security

AMETEK
Berwyn, USA
Mid
Discovered 1 months ago
awsazure

Full Job Posting

Responsibilities:

  • Own the enterprise architecture (EA) strategy, reference architectures, and roadmaps across infrastructure, network, cloud, workplace, and security domains.
  • Establish and run the Architecture Steering Committee/Review Board, patterns/standards, and technology lifecycle governance for infrastructure and security.
  • Embed reference architectures and standards into technology transitions and into strategic service providers’ operations, so that security and resilience are designed in as delivery shifts toward the outsourced operating model.
  • Define multi-cloud strategy (Azure/AWS), hybrid patterns, landing zones, network segmentation, SASE/SD-WAN, and edge architectures.
  • Architect OT/IT convergence patterns for plant network segmentation, IIoT, and edge computing, partnering with application and operations architecture as needed.
  • Evaluate emerging technologies — including AI and generative-AI adoption and their security-architecture implications — in coordination with the Data, Analytics & AI function and enterprise AI governance.
  • Embed Zero Trust, identity, secrets management, PAM, and secure-by-design principles across the environment, in partnership with the Director, Cyber Engineering and Operations.
  • Define enterprise logging, telemetry, and observability architecture, including SIEM and detection data sources, in partnership with the Director, Cyber Engineering and Operations.
  • Ensure architectures meet SOX, NIST 800-171/CMMC, DFARS 252.204-7012, ITAR/EAR, ISO 27001, and customer contract requirements; segment and protect Controlled Unclassified Information (CUI) as required.
  • Define enterprise identity and access architecture (SSO/MFA, PAM, IGA) in partnership with IAM engineering.
  • Architect data center, compute, storage, and disaster recovery/business continuity strategy.
  • Lead technology due diligence for M&A from an infrastructure and security perspective; define integration blueprints and post-close modernization plans.
  • Rationalize infrastructure and security tooling; manage vendor strategy and total cost of ownership for infrastructure and security platforms.
  • Translate strategy into executable roadmaps with milestones, budgets, and KPIs.
  • Mentor a team of infrastructure- and security-focused domain architects; build an EA community of practice.
  • Partner with Finance on infrastructure cost optimization (cloud FinOps, license optimization).

Qualifications:

  • BS in Computer Science/Engineering or related; MS/MBA preferred.
  • 10+ years in architecture/engineering with 5+ years leading infrastructure or security architecture in complex, global organizations; proven delivery at scale across cloud and network domains.
  • Deep expertise in Azure/AWS architecture, landing zones, and infrastructure as code.
  • Network segmentation, SASE/SD-WAN, and edge architecture experience.
  • Zero Trust, IAM, SSO/MFA, PAM, EDR/XDR, data protection, and logging/observability.
  • OT/IT convergence and plant network segmentation experience a plus.
  • Demonstrated experience with SOX ITGCs and regulated customer requirements (NIST 800-171/CMMC, DFARS, ITAR/EAR); contract flow-down comprehension.
  • Executive presence, clear storytelling, ability to influence across engineering, operations, security, and finance; vendor and SOW negotiation.
  • TOGAF or equivalent EA certification; Azure/AWS architect certification; CISSP/SABSA preferred.
  • Eligibility to work with export-controlled information; ability to obtain/maintain relevant clearances when required by customer programs.
  • Willingness to visit manufacturing sites and suppliers globally.
  • Experience in decentralized, acquisitive, multi-business manufacturing environments; able to standardize architecture while respecting business-unit autonomy.
  • Familiarity with multi-provider / service-integration (SIAM) operating models in which Corporate IT owns architecture and strategic providers execute operations.
  • Demonstrated ability and willingness to use AI tools to improve productivity, decision-making, work quality, and to reduce costs. The successful candidate must be able to identify appropriate AI use cases and critically evaluate AI-generated outputs.
  • #LI-BM1

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