Principal Solutions Architect

Request Technology, LLC; Chicago (IL); On-site; USD 140,000 - 210,000; Full time

Job summary

Request Technology, LLC is seeking a senior solutions architect to design architecture across distributed platforms, leveraging event-driven patterns, microservices, and infrastructure-as-code to enable automated provisioning.

You will define standards, design streaming and batch-based systems, and guide message-based architectures with Kafka to ensure reliable, decoupled communication. Collaboration with DevOps, security, and business teams will be essential.

Qualifications

• BS degree in Computer Science, similar technical field, or equivalent practical experience.
• 10+ years of relevant work experience.
• Experience in the capital markets industry.
• Strong knowledge of Kafka or other messaging/streaming systems, including topic design, partitioning strategies, and producer/consumer patterns for reliable, event-driven communication.
• 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.
• 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).
• Knowledge of schema management and data serialization formats, preferably Protocol Buffers (Protobuf), including schema evolution
• Understanding of data lake-house architecture and table formats such as Apache Iceberg
• Familiarity with Infrastructure as Code principles and tooling preferably Terraform to enable repeatable, automated environment design.
• 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.
• Experience working with Cloud ecosystems (AWS, PaaS, K8s)

Responsibilities

• 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.
• Define and enforce architectural standards, patterns, and best practices across engineering teams.
• Design streaming and batch-based systems that support both real-time and scheduled data flow across the organization.
• Shape and guide the architecture of message-based systems utilizing Kafka or similar platforms to enable reliable, decoupled, event-driven communication between services.
• 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.
• Own end-to-end solution architecture from ideation through implementation, including documentation of architectural decisions and system diagrams.
• Guide the development and deployment of distributed, cloud-native services, ensuring resilience, scalability, and cost-efficiency.
• Collaborate with DevOps, platform engineering, and security teams to ensure architectures are operable, resilient, and aligned with organizational standards.
• Review designs and code from engineering teams to ensure alignment with architectural standards, security requirements, and regulatory/compliance needs.
• Troubleshoot and resolve complex, cross-system issues spanning application, infrastructure, messaging, and data layers.
• Partner with engineering, data, and business teams to translate business requirements into robust, scalable technical solutions.

Skills

Java

Python

C#

Event-driven architecture

Cloud (AWS)

Microservices

Education

Bachelor's degree in Computer Science or equivalent

Tools

Kafka

OAuth2/OIDC

Terraform

Docker

Jenkins

Git

ArgoCD

Protobuf

Iceberg

Job description

• BS degree in Computer Science, similar technical field, or equivalent practical experience.
• 10+ years of relevant work experience
• Experience in the capital markets industry.
• Software development experience in Java, Python, or C#, including building high-throughput, low-latency services for data-intensive or transaction-oriented systems
• Strong knowledge of Kafka or other messaging/streaming systems, including topic design, partitioning strategies, and producer/consumer patterns for reliable, event-driven communication.
• 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.
• 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).
• Knowledge of schema management and data serialization formats, preferably Protocol Buffers (Protobuf), including schema evolution
• Understanding of data lake-house architecture and table formats such as Apache Iceberg
• Familiarity with Infrastructure as Code principles and tooling preferably Terraform to enable repeatable, automated environment design.
• 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.
• Experience working with Cloud ecosystems (AWS, PaaS, K8s)

Responsibilities

• 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.
• Define and enforce architectural standards, patterns, and best practices across engineering teams.
• Design streaming and batch-based systems that support both real-time and scheduled data flow across the organization.
• Shape and guide the architecture of message-based systems utilizing Kafka or similar platforms to enable reliable, decoupled, event-driven communication between services.
• 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.
• Own end-to-end solution architecture from ideation through implementation, including documentation of architectural decisions and system diagrams.
• Guide the development and deployment of distributed, cloud-native services, ensuring resilience, scalability, and cost-efficiency.
• Collaborate with DevOps, platform engineering, and security teams to ensure architectures are operable, resilient, and aligned with organizational standards.
• Review designs and code from engineering teams to ensure alignment with architectural standards, security requirements, and regulatory/compliance needs.
• Troubleshoot and resolve complex, cross-system issues spanning application, infrastructure, messaging, and data layers.
• Partner with engineering, data, and business teams to translate business requirements into robust, scalable technical solutions.