Principal Architect, EDT Data Platform Engineering (Hybrid)
Core
Translate enterprise data architecture into scalable engineering solutions on Azure and Databricks Lakehouse, building governed data pipelines, analytics-ready models, and reusable automation.
Role type
Principal Architect, Data Platform Engineering
Builds
Ingestion frameworks, Bronze-to-Silver transformations, Gold-layer data models, CI/CD pipelines, and Infrastructure as Code for internal delivery teams and business stakeholders.
Domain
Healthcare/Medical Device (regulated industry), Data Engineering, Cloud Data Platforms
Deliverable
production ML models | product features | dashboards & analysis | research | client delivery | infrastructure | physical/clinical work -> infrastructure
Required skills
Data engineering, Data warehousing, Azure Data Factory, Databricks, Spark, PySpark, Python, SQL, Azure DevOps, Terraform, PowerShell, Data modeling (star/snowflake schemas), Data quality frameworks, Unity Catalog, CI/CD, Infrastructure as Code
Preferred skills
Microsoft Fabric, Medical device industry experience, Azure analytics certification
Technologies
Azure Data Factory, Databricks, Spark, Azure Data Lake Storage, Azure SQL, Delta Live Tables, Delta Lake, Unity Catalog, Azure DevOps, Terraform, PowerShell, Python, PySpark, SQL, Power BI, Microsoft Fabric
Responsibilities
Build/maintain ingestion frameworks, implement Bronze-to-Silver transformations with quality checks, optimize batch/streaming pipelines, own CI/CD pipelines in Azure DevOps, maintain IaC with Terraform/PowerShell/Python, design Gold-layer data models, align models with semantic layer in Power BI/Fabric, implement Unity Catalog standards and access controls, translate architecture into low-level designs and playbooks, guide delivery teams through onboarding and design reviews.
Seniority
Principal, hands-on IC with leadership/mentorship responsibilities
