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