Design and build a greenfield commercial analytics platform on Microsoft Azure
Design cloud architecture and patterns
Ingest structured data for analytic consumption from a wide range of sources with Azure Data Factory
Design data lake patterns with Azure Data Lake Storage gen 2
Build an extensible analytics compute environment with Azure Databricks that can used directly by the end user as well as integrated with additional components like Power BI
Prioritize modularity. reusability. and componentization of solutions
Enable ease of use with documentation. templates. scripts. and wrapper APIs that allow a data analyst to get up and running with their preferred data sources and compute as quickly as possible
Work collaboratively with a distributed cross org team of engineers. architects. and data analysts
Manage pipelines for CI. CD and Release Management workflows. Github Jenkins integration.
Must have experience and understanding of modern Identity and Access Management concepts and best practices Required Qualifications
Excellent written and verbal communication skills and ability to work independently as well as with a team
5 years experience with Microsoft Azure
3 years experience with Databricks on Azure
3 years experience with Azure Data Factory (ADF)
3 years experience with Azure Logic Apps
3 years experience with Azure Data Lake Storage gen 2 (ADLS2)
3 years experience with Terraform
3 years experience with API. systems. and cloud architecture design
3 years experience doing analytics platform. infrastructure work
3 year with a relevant langauge (Java. Scala. Python or Go)
Experience of working on Azure key vault. Kubernetes secrets. Hashicorp vault
Experience of working on Azure. on premises AD. authentication. and authorization with OIDC and OAuth2 methods
Cloud monitoring Experience with Azure Monitor. Azure Application Insights. and Log Analytics Workspace or other open source tools Preferred Qualifications
Experience with Azure Power BI
Experience with Azure Synapse
Experience with Azure Cosmos DB
Experience with SQL Server
Experience with AI and ML (esp. in Azure)
Experience doing analytics platform. infrastructure work in the healthcare space
Experience integrating with disparate data sources (EPIC. Hadoop. Oracle. etc.)
Experience with Tableau
Experience writing Spark jobs (Scala).
Azure Certification
Experience working in the healthcare industry with PHI. PII