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Data Platform Engineering Lead

Judge Group, Inc.Tustin, CA🇺🇸United StatesPosted 19 Aug 2026

Why This Role Stands Out

Step into a pivotal Data Platform Engineering Lead role with a competitive annual salary of $160,000 - $170,000 USD, where you'll architect and manage enterprise-scale cloud-native data platforms. This hybrid position is ideal for a skilled engineer with expertise in Databricks, dbt, and AWS, eager to drive innovation and operational excellence in a dynamic environment. Join a reputable company and significantly impact critical business functions while enjoying flexibility in your work.

Quick Overview

Salary
$160k/yr
Work Type
Hybrid
Level
Mid Senior

Job Description

Location: Tustin, CA Salary: $160,000.00 USD Annually - $170,000.00 USD Annually Description:
Data Platform Engineering Lead

Irvine, CA

Fulltime

Must Have Technical/Functional Skills

Data Bricks , EBT ,Airflow , Asset Management exp

Roles & Responsibilities

We are seeking a highly skilled EDO Platform Engineering Lead to architect, build, and manage enterprise-scale cloud-native data platforms supporting Asset Management business functions. The 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 have deep expertise in Databricks, dbt, AWS Cloud, Terraform, Python, DevOps, Platform Engineering, and Data Operations, with strong experience supporting investment management organizations.

This role is responsible for establishing and managing a scalable, secure, and highly available data platform that supports analytics, reporting, regulatory compliance, portfolio management, risk management, and investment operations.

Key Responsibilities

Lead the design, implementation, and management of enterprise data platforms.

Define platform engineering strategy aligned with EDO and enterprise architecture standards.

Establish reusable platform frameworks, accelerators, and engineering best practices.

Drive cloud-native modernization initiatives across data and analytics ecosystems.

Own platform lifecycle management, scalability, availability, and reliability.

________________________________________

Lead enterprise-wide Databricks platform architecture and administration.

Design and implement Lakehouse architecture leveraging Delta Lake.

Manage: Databricks Workflows ,Delta Live Tables (DLT) ,Unity Catalog ,

MLflow ,Structured Streaming ,Cluster Policies ,Security and Access Controls

Optimize platform performance and cost efficiency.

Build governance controls across development, test, and production environments

Lead cloud engineering activities using AWS services:S3 ,ECS,EKS,Lamda .Glue ,Cloudwatch

Infrastructure as a Code (IaC)

Build reusable Terraform modules.

Automate environment provisioning.

Implement infrastructure standardization and governance.

Maintain infrastructure version control.

Ensure compliance through Infrastructure-as-Code practices.

Design and implement CI/CD pipelines.

Automate deployment and release management processes.

Enable Infrastructure-as-Code and GitOps methodologies.

Improve deployment velocity and reliability.

Support engineering teams with self-service platform capabilities.

GitHub Actions ,GitLab CI/CD ,Jenkins ,Azure DevOps ,Terraform ,Docker ,Kubernetes

Support API integrations and operational workflows.

Establish Site Reliability Engineering (SRE) practices.

Define platform SLAs, SLOs, and operational metrics.

Lead platform monitoring, observability, and incident management.

Drive root cause analysis and preventive actions

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Contact:
This job and many more are available through The Judge Group. Please apply with us today!

Skills

Docker
AWS
MLflow
Airflow
Azure
Compliance
Databricks
GitHub Actions
GitLab CI
Jenkins
Kubernetes
Portfolio Management
Python
Regulatory Compliance
Risk Management
Root Cause Analysis
Terraform
Unity
dbt

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