Data Platform Engineering Lead Job Irvine area,California USA,IT/Tech

Overview

Data Platform Engineering Lead – We are seeking a highly skilled 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, Dev Ops enablement, platform reliability, security, and operational excellence across the Enterprise Data Office (EDO).

Key Qualifications

The ideal candidate will have deep expertise in Databricks, dbt, AWS Cloud, Terraform, Python, Dev Ops, Platform Engineering, and Data Operations, with strong experience supporting investment management organizations.

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, Lambda, Glue, Cloud Watch.

Infrastructure as Code (IaC) and build reusable Terraform modules.

Automate environment provisioning and implement infrastructure standardization and governance.

Maintain infrastructure version control and ensure compliance through IaC practices.

Design and implement CI/CD pipelines; automate deployment and release management processes.

Enable Infrastructure-as-Code and Git Ops methodologies; improve deployment velocity and reliability.

Support engineering teams with self-service platform capabilities.

Utilize tools such as Git Hub Actions, Git Lab CI/CD, Jenkins, Azure Dev Ops, 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.

Compensation

Salary Range: $110,000 - $140,000 per year

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