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Data Platform Engineering Director Jobs in California

Northern Base

Data Platform Engineering Lead

Irvine, CA · On-site

Data Platform Engineering Lead Irvine, CA FUlltime Data Platform Engineering Lead Must Have Technical/Functional Skills Data Bricks , EBT ,Airflow , Asset Management exp Roles & Responsibilities We ...

Judge Group, Inc.

Data Platform Engineering Lead

Tustin, CA · On-site

$160K - $170K/yr

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 ...

Quantix

Data Platform Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Direct Hire Our client in the San Francisco, CA area is looking for a Data Platform Engineer to join their team on a direct hire basis. This person will join a motivated start-up that is focused on ...

Bridgenext, Inc.

Engineering Director

San Francisco, CA · On-site

$200 - $250/hr

Position Description We are seeking a highly experienced Engineering Director to be a Data ... Enterprise Architecture & Data Platform Strategy * Define and evolve the enterprise data ...

Living Spaces

Data Platform Engineer

La Mirada, CA · On-site

$115K - $138K/yr

Position Summary The Data Platform Engineer is responsible for designing, supporting, and ... This role combines strong database engineering experience with modern cloud data services, data ...

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Data Platform Engineering Director information

What is the difference between Data Platform Engineering Director vs Data Engineering Manager?

AspectData Platform Engineering DirectorData Engineering Manager
ResponsibilitiesOversees the design, development, and strategy of data platforms, ensuring scalability and performanceManages data engineering teams, oversees project execution, and ensures data pipelines meet business needs
Required SkillsStrong leadership, architecture expertise, cloud platforms, and data systems knowledgeTechnical data engineering skills, team management, project coordination
Work EnvironmentStrategic, cross-departmental, often executive-level collaborationOperational, team-focused, project-driven
Common UsageUsed in large organizations for high-level data infrastructure strategyUsed in organizations of all sizes for managing data engineering teams

The Data Platform Engineering Director focuses on strategic oversight and architecture of data platforms, while the Data Engineering Manager handles day-to-day team management and project execution. Both roles require technical expertise, but differ in scope and level of responsibility.

What cities in California are hiring for Data Platform Engineering Director jobs?

Cities in California with the most Data Platform Engineering Director job openings:

Infographic showing various Data Platform Engineering Director job openings in California as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Platform Engineering Lead

Irvine, CA • On-site

Northern Base
See more jobs at Northern Baseexternal

Full-time

Posted 28 days ago

Job description

Data Platform Engineering Lead
Irvine, CA
FUlltime
 
Job Description
Data Platform Engineering Lead
 
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