Data Platform Engineering Lead

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, Lambda, 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.