Data Platform Engineer Principal_999
Core
Design and architect enterprise data platforms on Azure, Databricks, and Snowflake, focusing on security, cost optimization, and reliability.
Role type
Principal Data Platform Engineer
Builds
Scalable data landing zones, lakehouse architectures, and automated infrastructure pipelines
Domain
Cloud Data Engineering / Data Platform Architecture
Deliverable
production ML models | infrastructure
Required skills
Databricks (Unity Catalog, Delta Lake), Azure (Networking, ADLS Gen2, Data Factory, Synapse), Snowflake (Warehouse optimization, RBAC), Terraform, Python, PowerShell, Bash, Distributed Systems, Spark Internals
Preferred skills
Databricks Certified Data Engineer Professional, SnowPro Advanced Architect, Azure Solutions Architect Expert, OPA/Sentinel/Checkov, GitOps, Datadog
Technologies
Databricks, Unity Catalog, Delta Lake, Azure, ADLS Gen2, Azure Data Factory, Synapse, Snowflake, Terraform, Python, PowerShell, Bash, Datadog, OPA, Sentinel, Checkov
Responsibilities
Design Databricks architecture including Unity Catalog and Delta Lake optimization; Architect Azure data landing zones and pipeline orchestration; Define reference architectures, golden patterns, and reusable IaC modules; Engineer fine-grained authorization, secrets management, and compliance evidence; Build cost observability, FinOps automation, and spend anomaly detection; Lead Sev1/2 incident response, postmortems, and reliability improvements; Mentor junior and mid-level cloud administrators and data engineers
Seniority
Principal, hands-on IC with mentorship
