AWS Databricks Engineering Lead (1146996)

The Judge Group

Irvine (CA)

On-site

USD 130,000 - 140,000

Full time

4 days ago
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Job summary

The Judge Group seeks an experienced AWS Databricks Engineering Lead to design, build, and oversee enterprise-scale cloud-native data platforms supporting Asset Management. You will lead platform engineering, cloud infrastructure, DevOps automation, platform reliability, security, and operational excellence across the Enterprise Data Office.

Responsibilities include defining standards, architecting Databricks ecosystems, driving AWS initiatives, and implementing IaC and CI/CD pipelines.

Qualifications

  • Strong hands-on experience with Databricks, dbt, Airflow, AWS, Terraform and Python.
  • Experience leading cloud platform engineering and DevOps initiatives.
  • Expertise in CI/CD, Infrastructure as Code, Docker, and Kubernetes.
  • Experience supporting Asset Management or Investment Management organizations.
  • Strong knowledge of platform reliability, security, governance, and operational best practices.

Responsibilities

  • Lead design, build, and management of enterprise data platforms.
  • Define platform engineering standards, best practices, and automation frameworks.
  • Architect and administer Databricks platforms including Delta Lake and Unity Catalog.
  • Drive AWS cloud engineering initiatives using S3, ECS, EKS, Lambda, Glue, and CloudWatch.
  • Develop Infrastructure-as-Code solutions using Terraform.
  • Build and manage CI/CD pipelines with GitHub Actions, GitLab CI/CD, Jenkins and Azure DevOps.
  • Support containerized environments leveraging Docker and Kubernetes.
  • Establish governance, security, monitoring, and operational controls across environments.
  • Implement SRE practices with SLAs, SLOs, observability, and incident management.
  • Drive platform performance, scalability, cost optimization, and continuous improvement.

Skills

Databricks
dbt
Airflow
AWS
Terraform
Python
CI/CD
IaC
Docker
Kubernetes
Asset Management
Security
Governance
Reliability

Tools

GitHub Actions
GitLab CI/CD
Jenkins
Azure DevOps
Terraform

Job description

Location

Irvine, CA

Salary

$130,000.00 USD Annually - $140,000.00 USD Annually

Job Summary

We are seeking an experienced AWS Databricks Engineering Lead to design, build, and oversee enterprise-scale cloud-native data platforms supporting Asset Management business functions. This role will lead platform engineering, cloud infrastructure, DevOps automation, platform reliability, security, and operational excellence across the Enterprise Data Office (EDO).

Key Responsibilities
  • Lead the design, implementation, and management of enterprise data platforms.
  • Define platform engineering standards, best practices, and automation frameworks.
  • Architect and administer Databricks platforms, including Delta Lake, Unity Catalog, DLT, MLflow, and Structured Streaming.
  • Drive AWS cloud engineering initiatives utilizing S3, ECS, EKS, Lambda, Glue, and CloudWatch.
  • Develop Infrastructure-as-Code solutions using Terraform.
  • Build and manage CI/CD pipelines using GitHub Actions, GitLab CI/CD, Jenkins, and Azure DevOps.
  • Support containerized environments leveraging Docker and Kubernetes.
  • Establish governance, security, monitoring, and operational controls across environments.
  • Implement Site Reliability Engineering (SRE) practices, including SLAs, SLOs, observability, and incident management.
  • Drive platform performance, scalability, cost optimization, and continuous improvement.
Required Qualifications
  • Strong hands-on experience with Databricks, dbt, Airflow, AWS, Terraform, and Python.
  • Experience leading cloud platform engineering and DevOps initiatives.
  • Expertise in CI/CD, Infrastructure as Code, Docker, and Kubernetes.
  • Experience supporting Asset Management or Investment Management organizations.
  • Strong knowledge of platform reliability, security, governance, and operational best practices.

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