Data Platform Engineering Lead

Centraprise; Irvine (CA); On-site; USD 180,000 - 250,000; Full time

Job summary

Centraprise in Irvine, CA seeks an EDO Platform Engineering Lead to architect, build, and manage enterprise-scale cloud-native data platforms for Asset Management. You will lead platform engineering, infrastructure automation, DevOps enablement, platform reliability, security, and operational excellence across the Enterprise Data Office.

Ideal candidate has deep expertise in Databricks, dbt, AWS, Terraform, Python, and data operations, with experience supporting investment management.

Qualifications

• Experience designing and implementing enterprise-scale data platforms.
• Strong knowledge of Databricks, dbt, and AWS cloud services.
• Background in asset management or investment operations is a plus.

Responsibilities

• Lead design and management of enterprise data platforms.
• Define platform strategy aligned with EDO and enterprise standards.
• Establish reusable frameworks and engineering best practices.
• Drive cloud-native modernization across data and analytics.
• Own platform lifecycle, scalability, and reliability.
• Lead Databricks architecture and administration.

Skills

Databricks

dbt

Airflow

Asset management experience

Python

DevOps

Platform engineering

Data operations

AWS Cloud

Tools

Terraform

Delta Lake

Delta Live Tables

MLflow

Unity Catalog

Databricks Workflows

Structured Streaming

ECS

EKS

Lambda

CloudWatch

Job description

Must Have Technical/Functional Skills : Data Bricks , DBT, Airflow , Asset Management exp

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)
• Implement infrastructure standardization and governance.
• 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 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

engineering teams with self-service platform capabilities.