Lead Data Engineer

Location:- Irvine, CA

Duration:- Full Time

Job Description

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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