Enterprise Platform Architect
New
United StatesFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 8+ years of software-engineering experience, including 5+ years in a Senior or Lead Architect role
- Required Skills
- AWSGCPJavaMicrosoft SQL ServerMySQLOracleAzure.NETAngularTerraform
Requirements
- 8+ years of software-engineering experience, including 5+ years in a Senior or Lead Architect role within a SaaS environment.
- Bachelor’s degree in Computer Science or a related field, or equivalent experience.
- Experienced in designing large-scale SaaS or multi-product architectures that balance scalability, security, and performance.
- Proven success designing and implementing enterprise-scale, cloud-native architectures leveraging both .NET (Core/C#) and Java ecosystems.
- Strong experience with Angular front-end frameworks and RESTful API or GraphQL integration design.
- Deep knowledge of relational databases including SQL Server, Oracle, and MySQL, with expertise in data modeling and performance optimization.
- Hands-on experience with cloud platforms (AWS, Azure, or GCP) and Infrastructure-as-Code using Terraform or AWS CDK.
- Familiarity with AI and ML services, data pipelines, and modern analytics platforms such as Snowflake or Databricks.
- Adept at collaborating with product, engineering, data, and AI teams to translate business strategy into technical execution.
- Experience leading architecture modernization, microservices adoption, and cross-product integration initiatives.
- Strong communication and influencing skills, with the ability to align executives and technical teams around a cohesive architectural vision.
Responsibilities
- Collaborate with engineering and product leadership to define and execute the multi-year platform architecture roadmap.
- Design and document a scalable, modular, and cloud-native architecture that supports shared services, unified data models, and cross-product interoperability.
- Serve as the architectural owner for initiatives that advance platform maturity, including data model consolidation, single sign-on, customer onboarding, and common administration.
- Partner with Data and AI teams to align platform design with analytics, reporting, and AI integration frameworks.
- Provide hands-on technical leadership, including reviewing designs, building reference implementations, and mentoring teams in modern architecture and DevOps practices.
- Establish and govern architecture principles, standards, and reusable patterns across APIs, event-driven systems, data flows, and security.
- Drive modernization efforts toward containerized, IaC-managed, and service-oriented architectures.
- Partner with DevOps to ensure scalable CI/CD pipelines, observability, and environment automation.
- Evaluate tools, frameworks, and cloud solutions to promote long-term maintainability, performance, and cost efficiency.
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