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Principal, Solution Architecture (Kafka & Flink)

New York Technology Partners

Job Description

We are building a culture that empowers continued learning, authentic innovation, and constant creativity. We are looking for an individual to join our team as a Solution Architect with the following skills and abilities:

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Primary Duties and Responsibilities:

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To perform this job successfully, an individual must be able to perform each primary duty satisfactorily.

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What You'll Do:

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You’ll be working alongside experts that are building next generation clearing system; and paving the future of digital transformation in the capital markets industry by:

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  • Design the applications’ architecture across distributed and enterprise technology platforms while leveraging patterns such as event-driven architecture, publish/subscribe messaging, and microservices while using infrastructure-as-code (IaC) practices to enable consistent, repeatable, and automated provisioning across environments.
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  • Define and enforce architectural standards, patterns, and best practices across engineering teams.
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  • Design streaming and batch-based systems that support both real-time and scheduled data flow across the organization.
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  • Shape and guide the architecture of message-based systems utilizing Kafka or similar platforms to enable reliable, decoupled, event-driven communication between services.
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  • Develop and oversee data architecture and integration strategies spanning streaming, batch, and message-based processing to ensure reliable, secure, and efficient data flow across systems.
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  • Own end-to-end solution architecture from ideation through implementation, including documentation of architectural decisions and system diagrams.
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  • Guide the development and deployment of distributed, cloud-native services, ensuring resilience, scalability, and cost-efficiency.
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  • Collaborate with DevOps, platform engineering, and security teams to ensure architectures are operable, resilient, and aligned with organizational standards.
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  • Review designs and code from engineering teams to ensure alignment with architectural standards, security requirements, and regulatory/compliance needs.
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  • Troubleshoot and resolve complex, cross-system issues spanning application, infrastructure, messaging, and data layers.
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  • Partner with engineering, data, and business teams to translate business requirements into robust, scalable technical solutions.
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  • Translate complex architectural decisions and trade-offs into clear, actionable insights for business stakeholders and non-technical audiences to support informed decision-making.
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  • Evaluate emerging tools, frameworks, and technologies, and provide recommendations for adoption.
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  • Mentor engineering teams on architectural best practices, distributed systems, event-driven and batch processing design.
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  • Ability to explain complex technical concepts to non-technical audiences.
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Supervisory Responsibilities:

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  • None
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Qualifications:

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The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the primary functions.

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  • Demonstrated experience in one or more of the following domains: event-driven and message-based systems, transaction processing systems, distributed and parallel computing.
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  • Solid experience designing application architectures across distributed and enterprise technology platforms, including microservices and streaming or batch-based applications
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  • Experience with projects involving complex integration of disparate types of technologies/platforms and data.
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  • Experience architecting large-scale distributed systems.
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  • Architect Kubernetes-based deployment topology for stateless services and on-demand jobs, including horizontal pod autoscaling, multi-AZ resilience, and cross-region/on-prem failover and disaster recovery strategies (hot-hot, S3 replication).
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  • Fluent in object-oriented design, industry best practices, software patterns, and architecture principles.
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  • Experience defining and documenting architecture strategies, designs, and requirements across all enterprise architecture domains – business, information systems (applications & data), and technology.
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  • Experience defining non-functional requirements (NFRs) including performance, scalability, availability, and security and others as well as ensuring applications’ architecture are designed to satisfy them.
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  • Highly motivated with a strong sense of ownership of their work/projects.
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  • Excellent oral and written communication skills.
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Technical Skills:

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  • Software development experience in Java, Python, or C#, including building high-throughput, low-latency services for data-intensive or transaction-oriented systems
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  • Strong knowledge of Kafka or other messaging/streaming systems, including topic design, partitioning strategies, and producer/consumer patterns for reliable, event-driven communication.
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  • Fluent in object-oriented design principles, software design patterns, and modern architecture practices (e.g., microservices, event-driven architecture, domain-driven design), with the ability to apply them to real-world, large-scale systems.
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  • Knowledge of identity and access management using OAuth2/OIDC flows (client credentials, authorization code with PKCE), JWT-based token validation, and integration with identity providers (e.g., ForgeRock, SailPoint).
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  • Knowledge of schema management and data serialization formats, preferably Protocol Buffers (Protobuf), including schema evolution
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  • Understanding of data lake-house architecture and table formats such as Apache Iceberg
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  • Familiarity with Infrastructure as Code principles and tooling preferably Terraform to enable repeatable, automated environment design.
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  • Working knowledge of DevOps tooling and practices such as Git, Jenkins, Docker, Artifactory, ArgoCD, and others to support automated build, test, and deployment of distributed, containerized applications.
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  • Experience working with Cloud ecosystems (AWS, PaaS, K8s)
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Education and/or Experience:

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Minimum Qualifications:

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  • BS degree in Computer Science, similar technical field, or equivalent practical experience.
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  • 10+ years of relevant work experience
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Preferred Qualifications:

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  • 6+ years of work experience in the capital markets industry.
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Certificates or Licenses:

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  • None
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