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Cloud Engineering Lead Jobs (NOW HIRING)

Lead Data Engineer

Tustin, CA · On-site

$180K - $190K/yr

Cloud Engineering & Infrastructure * Lead cloud engineering initiatives utilizing AWS services including: * Amazon S3 * ECS * EKS * AWS Lambda * AWS Glue * CloudWatch * Design highly available and ...

Manager, Cloud Engineering

$57 - $76.25/hr

Lead, manage, coach, and develop a team of cloud engineers and architects supporting the myQ Cloud Engineering platform; conduct 1:1s, performance reviews, career development planning, and goal ...

Cloud Engineering Advisor

Plano, TX · On-site

$100 - $125/hr

About the Role - Senior technical lead responsible for designing, building, and operating a secure ... Establish observability and SRE practices: Cloud Monitoring, Logging, Trace, Error Reporting, SLOs ...

Networking Cloud Engineering

Libertyville, IL · On-site

$54.25 - $72.50/hr

Networking Cloud Engineering Location: Libertyville, IL (Onsite) Duration: Contract to Hire Cloud ... Lead infrastructure projects (e.g., Cloud integrations, system deployments, network upgrades)

$125 - $150/hr

Hands-on Cloud Engineer, to lead the resolution of complex cloud infrastructure issues, serving as an escalation point for senior and mid-level engineers. * Enhance the automation and scripting ...

Cloud Engineering, Advanced

Holtsville, NY · On-site

$56.50 - $75.75/hr

You'll have opportunities to learn and lead in a forward-thinking environment, defining your path ... Hands-on Cloud Engineer, tolead the resolution of complex cloud infrastructure issues, serving as ...

Showing results 41-60

Cloud Engineering Lead information

See salary details

$42.5K

$123.8K

$180.5K

How much do cloud engineering lead jobs pay per year?

As of Sep 9, 2026, the average yearly pay for cloud engineering lead in the United States is $123,784.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,500.00 and $135,000.00 per year, depending on experience, location, and employer.

Are cloud engineering leads still in demand?

Cloud engineering leads are currently in high demand due to the ongoing adoption of cloud technologies across industries. They typically require expertise in cloud platforms like AWS, Azure, or Google Cloud, along with leadership and project management skills. The role offers strong job growth prospects as organizations continue to migrate and optimize their cloud infrastructure.

What cities are hiring for Cloud Engineering Lead jobs?

Cities with the most Cloud Engineering Lead job openings:

What states have the most Cloud Engineering Lead jobs?

States with the most job openings for Cloud Engineering Lead jobs include:

What are popular job titles related to Cloud Engineering Lead jobs?

For Cloud Engineering Lead jobs, the most frequently searched job titles are:

Lead Data Engineer

Tustin, CA • On-site

Judge Group, Inc.
Recruiting and Staffing Services • 5 - 10K employees

$180K - $190K/yr

Other

Posted 21 days ago


Job description

Location: Tustin, CA Salary: $180,000.00 USD Annually - $190,000.00 USD Annually Description:
Lead Data Engineer (EDO Platform Engineering Lead)
Location: Irvine, CA
Salary: $180,000-$190,000
About the Role
We are seeking an experienced Lead Data Engineer / EDO Platform Engineering Lead to architect, build, and manage enterprise-scale cloud-native data platforms supporting Asset Management business functions. This role will lead platform engineering, infrastructure automation, DevOps enablement, platform reliability, security, and operational excellence across the Enterprise Data Office (EDO).
The ideal candidate will possess deep expertise in Databricks, dbt, Airflow, AWS Cloud, Terraform, Python, DevOps, Platform Engineering, and Data Operations, along with a strong background supporting Asset Management and Investment Management organizations.
This position will be responsible for establishing and operating a secure, scalable, highly available enterprise data platform supporting analytics, reporting, regulatory compliance, portfolio management, risk management, and investment operations.
Responsibilities
Platform Engineering & Architecture
  • Lead the design, implementation, and management of enterprise-scale data platforms.
  • Define platform engineering strategy aligned with Enterprise Data Office (EDO) and enterprise architecture standards.
  • Establish reusable platform frameworks, accelerators, reference architectures, and engineering best practices.
  • Drive cloud-native modernization initiatives across data and analytics ecosystems.
  • Own platform lifecycle management, scalability, reliability, availability, and performance.
Databricks Platform Leadership
  • Lead Databricks platform architecture, administration, and governance.
  • Design and implement modern Lakehouse architectures utilizing Delta Lake.
  • Manage and optimize:
    • Databricks Workflows
    • Delta Live Tables (DLT)
    • Unity Catalog
    • MLflow
    • Structured Streaming
    • Cluster Policies
    • Security & Access Controls
  • Optimize platform performance, scalability, and cost efficiency.
  • Establish governance controls across development, testing, and production environments.
Cloud Engineering & Infrastructure
  • Lead cloud engineering initiatives utilizing AWS services including:
    • Amazon S3
    • ECS
    • EKS
    • AWS Lambda
    • AWS Glue
    • CloudWatch
  • Design highly available and secure cloud-based data platform solutions.
  • Ensure platform resiliency, security, compliance, and operational excellence.
Infrastructure as Code (IaC)
  • Develop and maintain reusable Terraform modules.
  • Automate environment provisioning and deployment processes.
  • Implement infrastructure standardization and governance.
  • Maintain infrastructure version control and change management.
  • Enforce compliance through Infrastructure-as-Code best practices.
DevOps & Automation
  • Design and implement CI/CD pipelines for platform and data engineering teams.
  • Automate deployment, release management, and operational processes.
  • Enable GitOps and Infrastructure-as-Code methodologies.
  • Improve deployment speed, reliability, and operational efficiency.
  • Support self-service platform capabilities for engineering teams.
Platform Reliability & Operations
  • Establish and implement Site Reliability Engineering (SRE) practices.
  • Define and monitor platform SLAs, SLOs, and key operational metrics.
  • Lead platform monitoring, observability, and incident management strategies.
  • Drive root cause analysis, remediation, and preventive action programs.
  • Support API integrations and operational workflows.
Tools & Technologies
  • Databricks
  • Delta Lake
  • dbt
  • Apache Airflow
  • AWS Cloud
  • Terraform
  • Python
  • GitHub Actions
  • GitLab CI/CD
  • Jenkins
  • Azure DevOps
  • Docker
  • Kubernetes
Required Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
  • 10+ years of experience in Data Engineering, Platform Engineering, Cloud Engineering, or related disciplines.
  • Strong experience designing and supporting enterprise data platforms.
  • Hands-on expertise with:
    • Databricks
    • dbt
    • Apache Airflow
    • AWS Cloud Services
    • Terraform
    • Python
    • CI/CD pipelines
    • Docker & Kubernetes
  • Experience implementing Infrastructure as Code (IaC) and DevOps practices.
  • Strong understanding of data governance, security, and compliance controls.
  • Experience supporting large-scale enterprise data environments.
  • Excellent leadership, communication, and stakeholder management skills.
Preferred Qualifications
  • Experience within Asset Management, Wealth Management, Investment Management, or Financial Services organizations.
  • Expertise in Lakehouse Architecture and Data Platform Modernization.
  • Experience implementing Site Reliability Engineering (SRE) practices.
  • AWS Certifications preferred.
  • Databricks Certifications preferred.
  • Experience supporting enterprise-scale analytics and regulatory reporting platforms.
Must-Have Skills
  • Databricks
  • dbt
  • Apache Airflow
  • AWS Cloud
  • Terraform
  • Python
  • Platform Engineering
  • DevOps
  • Infrastructure as Code (IaC)
  • Asset Management Industry Experience
Preferred Skills
  • Delta Live Tables (DLT)
  • Unity Catalog
  • MLflow
  • Structured Streaming
  • Kubernetes
  • Docker
  • GitOps
  • Jenkins
  • GitHub Actions
  • GitLab CI/CD
  • Site Reliability Engineering (SRE)

Please send me your resume and Linked IN profile for immediate consideration.
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Contact:
This job and many more are available through The Judge Group. Please apply with us today!