Principle Data Platform Engineer
Core
Design and implement a federated infrastructure strategy for marketing data, focusing on cost optimization, scalability, and reliability while ensuring data quality and security.
Role type
Principal Data Platform Engineer
Builds
Federated data infrastructure, monitoring systems, data storage frameworks (medallion architecture), and shared tools for cross-tenant Azure data intake.
Domain
Cloud Data Engineering / Marketing Data Platforms
Deliverable
production ML models | infrastructure
Required skills
Federated infrastructure strategy, data platform architecture, monitoring system design, data discovery and access management, policy enforcement, lineage tracking, data quality measurement, medallion architecture implementation, role-based access controls (RBAC), engineering excellence, big data platform leadership, Infrastructure-as-Code (IaC), CI/CD automation, Identity and access management (IAM), governance frameworks, observability, incident management, reliability engineering.
Preferred skills
Collaboration with Data Product Engineering, Data Ops, and Partner Engineering teams, influencing product roadmaps for Fabric, Purview, and Azure ML.
Technologies
Azure, Fabric, Purview, Azure ML, Terraform, Bicep, ARM, OpenTelemetry, C, C++, C#, Java, JavaScript, Python
Responsibilities
Develop federated infrastructure strategy for marketing data; build monitoring systems for infrastructure and pipelines; create frameworks for data quality and lineage tracking; design data storage solutions with automated access controls; collaborate with cross-functional teams to deliver end-to-end platform solutions; implement data classification and retention policies; identify and prioritize platform improvements.
Seniority
Principal, hands-on IC with strategic influence
