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Enterprise Architect

Job in New York, New York County, New York, 10261, USA
Listing for: Zip Co
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Systems Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Location: New York

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  • Enterprise Architect with deep expertise in C#, modern systems architecture, design patterns, and engineering principles to design and optimize secure, scalable platforms.
  • Engineering leader who fosters collaboration, innovation, and operational excellence through strategic leadership and continuous improvement.
  • Remote‑first opportunity for US‑based employees with the option to work in‑person out of our Manhattan office.
Start your adventure with Zip

Become a part of Zip’s Engineering team and take on exciting challenges at scale in a dynamic, test‑driven development environment. If you thrive on delivering high‑quality work quickly, you’ll be a perfect match for our teams, who develop cloud‑native software applications serving millions of customers and processing billions of dollars in payments.

We are seeking an accomplished and technically adept Enterprise Architect to play a pivotal role in our Enterprise Architecture team. As a technical leader, you will drive the architecture, implementation, and evolution of our platform, ensuring that our systems are secure, resilient, scalable, and optimized for peak performance. This is a builder’s role, requiring hands‑on engagement and technical ownership across multiple domains.

You will influence strategic decisions, lead complex projects, and serve as a mentor to product engineering teams, fostering a culture of innovation, security, and operational excellence.

Interesting problems you’ll get to solve
  • Lead Architectural Design and Execution:
    Define target architectures and oversee their execution across enterprise platforms. Drive the implementation of scalable, cloud‑native solutions that ensure high availability, disaster recovery readiness, and optimal performance for mission‑critical business flows. Partner with engineering teams to embed resiliency patterns (e.g., autoscaling, geo‑redundancy, circuit breakers) and enforce alignment with TOGAF principles and internal enterprise standards.
  • Define Technical Strategy:
    Refine and evolve existing enterprise architecture roadmaps in line with TOGAF principles, ensuring alignment with business goals and industry trends. Adapt strategies to reflect changing technologies and priorities, guiding the effective use of platforms such as C#, SQL Server, Postgres, Azure, Kafka, Terraform, and Kubernetes.
  • Establish and Champion Best Practices:
    Promote engineering principles that strengthen system resilience and service availability. Define SLO frameworks, reusable components, and observability practices to reduce operational overhead and enforce consistent standards.
  • Architect Cloud‑Native Solutions with Security‑First Principles:
    Design secure, scalable cloud‑native architectures that meet regulatory, industry, and internal security standards while ensuring resilience and performance.
  • Enhance Observability:
    Design and implement monitoring, logging, and alerting systems to ensure comprehensive observability across infrastructure and applications. Establish system performance metrics and enforce Service Level Agreements (SLAs) using tools like Dynatrace to ensure operational excellence.
  • Mentor and Inspire Engineering Teams:
    Serve as a mentor for engineers. Lead training sessions, organize technical deep dives, and champion knowledge‑sharing initiatives to elevate team skills and promote a collaborative engineering culture.
  • Document and Institutionalize Knowledge:
    Create and maintain documentation and internal wikis to preserve architecture, process, and security knowledge, leveraging AI‑optimized methods to ensure information is accurate, accessible, and continuously updated.
  • Evangelize AI and Agentic AI:
    Promote awareness and adoption of AI and agentic AI solutions across the enterprise. Identify practical use cases, guide integration into business and technology strategies, and champion responsible, secure, and innovative applications of AI.
What You’ll Bring To The Team Educational Background

A bachelor's degree in Computer Science or Software Engineering. A graduate degree is preferred.

  • Technical Leadership:
    Demons…
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