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AWS cloud platforms Lead

Ravh IT SolutionsIrvine, CA🇺🇸United StatesPosted 18 Aug 2026

Quick Overview

Work Type
On Site
Level
Mid Senior

Job Description

Job Title: Enterprise Cloud & Platform Architect –OR AWS / Data Platforms or AWS Platform Engineering Lead
Job Type
 
Locations: Irvine, CA onsite 
Experience
12+ Years of Overall IT Experience
8+ Years of Cloud / Solution Architecture Experience
Job Summary
We are seeking an experienced Enterprise Cloud & Platform Architect to design, architect, and lead the implementation of highly scalable, secure, reliable, and cloud-native enterprise platforms. The ideal candidate will have strong expertise in AWS Cloud Architecture, Data Platforms, Infrastructure as Code, DevOps, Kubernetes, Databricks, CI/CD, SRE, observability, and cloud security.
The candidate will work closely with engineering, data, infrastructure, security, application, and business teams to define enterprise cloud strategies, modernize legacy environments, establish reusable platform capabilities, and improve reliability, automation, governance, and operational efficiency.
This role requires a hands-on architect who can translate business and technical requirements into scalable cloud solutions while establishing architecture standards, automation frameworks, security controls, and operational best practices.
Key Responsibilities
  • Design and architect enterprise-scale AWS cloud platforms supporting data engineering, analytics, application, and business-critical workloads.
  • Define cloud architecture standards covering scalability, availability, security, performance, disaster recovery, monitoring, and cost optimization.
  • Architect and implement modern AWS data platforms, data lakes, and lakehouse environments using services such as S3, Glue, Redshift, Athena, EMR, Lambda, and EKS.
  • Design and support Databricks and Apache Spark/PySpark platforms for large-scale batch and data-processing workloads.
  • Develop reusable infrastructure patterns using Terraform, CloudFormation, Ansible, and Python/Bash automation.
  • Establish Infrastructure-as-Code standards, reusable Terraform modules, Git-based infrastructure management, and automated provisioning processes.
  • Design and implement enterprise CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, and related DevOps technologies.
  • Integrate automated validation, quality gates, security checks, infrastructure provisioning, deployment automation, and environment promotion into CI/CD workflows.
  • Architect and support Kubernetes and containerized platforms, including Amazon EKS, ECS, Docker, and Helm.
  • Establish platform engineering capabilities including reusable services, self-service infrastructure, standardized deployment patterns, and developer enablement.
  • Implement SRE practices focused on reliability, availability, scalability, incident management, operational readiness, and continuous improvement.
  • Develop comprehensive monitoring, logging, alerting, and observability solutions using Amazon CloudWatch, Prometheus, Grafana, CloudTrail, and related tools.
  • Define and implement SLOs, SLAs, operational metrics, reliability dashboards, and platform health monitoring.
  • Establish cloud security architecture using IAM, RBAC, KMS, Secrets Manager, encryption, network security, least-privilege access, and security controls.
  • Partner with security and compliance teams to ensure cloud platforms meet enterprise governance and regulatory requirements.
  • Lead cloud modernization and migration initiatives, including migration from on-premises and other cloud environments to AWS.
  • Design highly available and disaster-recovery-ready architectures for mission-critical enterprise applications and data platforms.
  • Support production operations, P1/P2 incidents, technical escalations, root-cause analysis, and reliability improvement initiatives.
  • Create architecture documentation, technical standards, operational runbooks, migration plans, and production-readiness processes.
  • Collaborate with application, data engineering, DevOps, infrastructure, security, and enterprise architecture teams to establish consistent cloud engineering practices.
  • Mentor engineering teams and provide technical leadership on cloud architecture, DevOps, platform engineering, and data-platform modernization.
Required Technical Skills
Cloud & Architecture
  • AWS Cloud Architecture
  • AWS Data Platform Architecture
  • AWS S3, Glue, Redshift, Athena, EMR
  • AWS Lambda, EC2, EKS, IAM, VPC
  • CloudWatch, KMS, Secrets Manager
  • High Availability / Disaster Recovery
  • Cloud Security & Governance
  • Cloud Migration & Modernization
Data Engineering & Data Platforms
  • Databricks
  • Apache Spark / PySpark
  • AWS Glue
  • Amazon Redshift
  • Data Lake / Lakehouse Architecture
  • Data Ingestion
  • Batch & Streaming Workloads
  • dbt
  • Apache Airflow
  • Enterprise Data Platforms
Infrastructure as Code & Automation
  • Terraform
  • Terraform Modules
  • CloudFormation
  • Ansible
  • Packer
  • Python
  • Bash / Shell Scripting
  • Git-based Infrastructure Management
DevOps & CI/CD
  • Jenkins
  • Jenkins Shared Libraries
  • GitHub
  • GitHub Actions
  • GitLab CI
  • CI/CD Pipeline Architecture
  • Release Automation
  • Deployment Automation
  • SonarQube / Quality Gates
  • GitOps
Containers & Platform Engineering
  • Docker
  • Kubernetes
  • Amazon EKS
  • Amazon ECS
  • Helm
  • Platform Engineering
  • Self-Service Platform Capabilities
  • Reusable Infrastructure Patterns
SRE & Observability
  • Site Reliability Engineering (SRE)
  • CloudWatch
  • Prometheus
  • Grafana
  • CloudTrail
  • Centralized Logging
  • Monitoring & Alerting
  • Incident Management
  • Root Cause Analysis
  • SLO / SLA Management
  • Production Support
Security & Governance
  • AWS IAM
  • RBAC
  • KMS
  • Secrets Manager
  • Encryption
  • Network Security
  • Security Groups
  • Least-Privilege Access
  • Cloud Governance
  • Compliance-Ready Architecture
Preferred Qualifications
  • Experience working with financial services, banking, healthcare, or other highly regulated enterprise environments.
  • Experience designing enterprise data platforms and cloud-native architectures.
  • Experience leading AWS cloud modernization and migration programs.
  • Experience with Databricks, Spark, dbt, and Airflow in enterprise data environments.
  • Strong understanding of enterprise networking, security, identity, governance, and compliance.
  • Experience establishing platform engineering standards across large organizations.
  • Strong communication and stakeholder-management skills.
  • Ability to work with both executive stakeholders and hands-on engineering teams.
  • AWS Solutions Architect certification is highly preferred.
  • Azure or Google Cloud architecture experience is a plus.
Education
Bachelor''s degree in Computer Science, Engineering, Information Technology, or a related technical discipline preferred.
Ideal Candidate Profile
The ideal candidate is a hands-on Enterprise Cloud Architect / Platform Architect who combines architecture leadership with strong technical implementation experience. The candidate should be capable of designing AWS enterprise platforms, establishing Infrastructure-as-Code and DevOps standards, enabling Databricks/data engineering workloads, implementing Kubernetes-based platforms, and driving SRE, observability, security, and governance practices.
Experience across AWS, Azure, and Google Cloud Platform is highly valuable, particularly for enterprise organizations operating in multi-cloud environments.
Core Keywords
AWS Cloud Architect | Enterprise Architect | Cloud Platform Architect | Platform Engineering | AWS Data Platform | Databricks | Spark | PySpark | Terraform | Kubernetes | EKS | Docker | Jenkins | GitHub | GitLab | CI/CD | DevOps | SRE | Observability | CloudWatch | Prometheus | Grafana | AWS Glue | Redshift | S3 | EMR | Airflow | dbt | Cloud Security | IAM | KMS | Cloud Migration | Data Lake | Lakehouse | Infrastructure as Code | Cloud Modernization

Skills

Docker
Packer
Shell
AWS
Encryption
SonarQube
Airflow
Ansible
Apache
Apache Spark
Azure
Bash
CloudFormation
Compliance
Continuous Improvement
Databricks
EMR
Git
GitHub Actions
GitLab CI
Google Cloud
Grafana
Helm
Jenkins
Kubernetes
Prometheus
Python
Redshift
Root Cause Analysis
Terraform
dbt

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