Senior Data Platform Engineer — Azure Lakehouse & Automation

0400 FBD USA LLP; Raleigh (NC); Presencial; USD 120.000 - 190.000; Jornada completa

Descripción de la vacante

0400 FBD USA LLP in Raleigh is seeking an experienced Senior Data Platform Engineer to manage cloud-native platforms across Azure, Databricks, Unity Catalog, and governance tools. You will ensure security, reliability, scalability, observability, and cost efficiency while delivering robust data pipelines and lakehouse solutions for analytics and AI.

You will collaborate with architecture, security, governance, and operations teams to implement data access controls, automated deployments, and

Formación

• 5–10 years of hands-on data platform engineering and cloud data engineering.
• Experience managing enterprise data platforms in Azure with security, governance, and cost controls.
• Experience designing and implementing lakehouse architectures at scale.
• Strong Python and SQL skills for production-grade code and queries.
• Familiarity with data governance platforms like Collibra or Immuta to enable metadata, lineage, and access control.

Responsabilidades

• Manage the Data Office platform estate across Azure, Databricks, Unity Catalog, integration services, Collibra, and Immuta to ensure reliability.
• Monitor and optimize platform performance, workloads, storage, compute, and cost efficiency.
• Lead capacity planning, autoscaling, orchestration, and governance across environments.
• Administer configurations, environments, service connections, secrets, and data access controls.
• Design, build, and maintain secure lakehouse solutions using Azure data stack and Databricks.

Conocimientos

Databricks

Azure

Python

SQL

Unity Catalog

Collibra

Immuta

Terraform

CI/CD

GitHub Actions

Herramientas

Databricks Workflows

Azure Data Factory

Spark

Delta Lake

Kubernetes

Descripción del empleo

0400 FBD USA LLP in Raleigh is seeking an experienced Senior Data Platform Engineer to manage cloud-native platforms across Azure, Databricks, Unity Catalog, and governance tools. You will ensure security, reliability, scalability, observability, and cost efficiency while delivering robust data pipelines and lakehouse solutions for analytics and AI.

You will collaborate with architecture, security, governance, and operations teams to implement data access controls, automated deployments, and