Data Platform Engineering Lead

Overview

Data Bricks, EBT, 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, Dev Ops 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, Dev Ops, 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.

• 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 components:
  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.
• Implement infrastructure standardization and governance.
• Ensure compliance through Terraform and 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.
• 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.

• Deep expertise in Databricks, dbt, AWS Cloud, Terraform, Python, Dev Ops, Platform Engineering, and Data Operations.
• Experience supporting investment management or financial services organizations.
• Experience architecting and operating enterprise-scale cloud-native data platforms.