Architect Jobs

About The Position

Requirements

• Bachelor's degree in Computer Science, Information Systems, Software Engineering, Systems Programming, or a related discipline; equivalent relevant experience may also be considered.
• 10+ years of experience building large-scale cloud data platforms.
• 7+ years of hands-on experience in modern data architecture, platform engineering, and cloud infrastructure.
• 5+ years of experience designing and implementing enterprise security controls for cloud data platforms.
• Strong experience with IAM, RBAC, encryption, audit logging, security monitoring, and cloud security architecture.
• Proven hands-on experience building and operating cloud infrastructure using Terraform or equivalent Infrastructure-as-Code technologies.
• Strong experience implementing modern DevSecOps practices.
• Experience integrating security and governance requirements into cloud data platforms.
• Strong enterprise data platform experience involving technologies such as: Snowflake, Databricks, AWS, Microsoft Azure, Terraform, Containerized applications, APIs and microservices, Modern cloud data services, CI/CD and DevSecOps tooling.

Nice To Haves

• Candidates with experience building enterprise platforms from the ground up will be strongly preferred.
• Designing enterprise data platforms supporting multiple organizations, departments, or business units.
• Building reusable platform capabilities instead of application-specific solutions.
• Designing secure multi-tenant cloud environments.
• Supporting enterprise digital transformation or cloud modernization initiatives.
• Designing platforms capable of supporting advanced analytics and artificial intelligence workloads.
• Working closely with cybersecurity, CISO, governance, risk, and compliance teams.
• Developing standardized onboarding and deployment patterns.
• Designing cloud-native architectures using containers and automated infrastructure.
• Establishing architecture governance and engineering standards across large organizations.

Responsibilities

• Define the target architecture for a scalable enterprise data platform.
• Develop a multi-year platform architecture and modernization roadmap.
• Establish architecture patterns, technical standards, and reusable platform capabilities.
• Evaluate emerging technologies while maintaining architectural consistency and operational sustainability.
• Design enterprise data capabilities that can support multiple teams and organizations simultaneously.
• Promote API-first, product-based, and reusable approaches to enterprise information sharing.
• Design and build the initial MVP and continuously mature the enterprise cloud data platform.
• Establish engineering standards, development practices, operational controls, and platform guardrails.
• Architect secure, scalable, multi-tenant environments supporting multiple organizations and workloads.
• Address data isolation, access control, security, and data co-mingling considerations within shared environments.
• Design highly available and scalable cloud infrastructure supporting data, analytics, and AI workloads.
• Implement cloud infrastructure using Infrastructure as Code, including Terraform or equivalent technologies.
• Design reusable platform services rather than one-off implementations for individual teams.
• Develop standardized onboarding patterns for teams adopting enterprise data products and services.
• Build reusable data products and AI-ready infrastructure.
• Design modern data ingestion, storage, processing, transformation, integration, and consumption patterns.
• Partner with cloud, integration, application, analytics, and data engineering teams to deliver enterprise capabilities.
• Support platforms and technologies such as Snowflake, Databricks, AWS, Azure, containers, APIs, and modern data services.
• Design and implement enterprise security controls for cloud-based data environments.
• Implement Identity and Access Management (IAM), Role-Based Access Control (RBAC), encryption, logging, auditing, and monitoring capabilities.
• Collaborate with cybersecurity, governance, risk, compliance, and cloud engineering teams.
• Integrate security controls directly into platform architecture and engineering workflows.
• Establish clear security ownership boundaries across enterprise technology teams.
• Implement and promote modern DevSecOps practices.
• Champion a shift-left security approach by incorporating security controls throughout the software and infrastructure development lifecycle.
• Automate infrastructure, security controls, deployments, and platform operations wherever possible.
• Establish enterprise engineering and architecture best practices.
• Provide technical leadership across multidisciplinary engineering teams.
• Collaborate with architects, engineers, security teams, data teams, product teams, and executive technology leadership.
• Translate enterprise strategy into practical architecture and engineering solutions.
• Lead architecture decisions through influence and technical credibility rather than direct reporting authority.
• Mentor technical teams on modern data architecture, cloud engineering, DevSecOps, and platform engineering practices.
• Communicate complex technical concepts effectively to both technical and non-technical stakeholders.