Talendica
Data Architect - Hybrid - Princeton , NJ - Locals/Nearby Only
Talendica, Princeton, New Jersey, us, 08543
Data Architect
Hybrid - Princeton, NJ - Locals/Nearby Only
Note - Life Sciences / clinical research background is mandatory.
Responsibilities:13 + years of proven experience designing, developing, and implementing data architectures on cloud platforms (Azure) for a CRO or similar Life Sciences Company.Collaborate with clinical research, IT, and business stakeholders to understand data needs for clinical trials and CRO partnerships.Design and develop a scalable and secure data architecture on Microsoft Azure, utilizing services like Azure Data Factory, Azure Data Lake Storage, and Azure SQL Database.Design and implement data governance policies and procedures for secure access and management of clinical trial data.Strong understanding of data modeling concepts (dimensional, relational, etc.).Expertise in Azure data services, including Azure Data Lake Storage, Azure Synapse Analytics, Azure SQL Database, and Azure Data Factory.Proficiency in writing SQL queries and scripting languages (e.g., T-SQL, Python).Excellent understanding of data security principles and best practices.Experience with infrastructure as code (IaC) tools like Azure Resource Manager (ARM) templates or Bicep.Strong communication and collaboration skills.Ability to translate business requirements into technical solutions.
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Hybrid - Princeton, NJ - Locals/Nearby Only
Note - Life Sciences / clinical research background is mandatory.
Responsibilities:13 + years of proven experience designing, developing, and implementing data architectures on cloud platforms (Azure) for a CRO or similar Life Sciences Company.Collaborate with clinical research, IT, and business stakeholders to understand data needs for clinical trials and CRO partnerships.Design and develop a scalable and secure data architecture on Microsoft Azure, utilizing services like Azure Data Factory, Azure Data Lake Storage, and Azure SQL Database.Design and implement data governance policies and procedures for secure access and management of clinical trial data.Strong understanding of data modeling concepts (dimensional, relational, etc.).Expertise in Azure data services, including Azure Data Lake Storage, Azure Synapse Analytics, Azure SQL Database, and Azure Data Factory.Proficiency in writing SQL queries and scripting languages (e.g., T-SQL, Python).Excellent understanding of data security principles and best practices.Experience with infrastructure as code (IaC) tools like Azure Resource Manager (ARM) templates or Bicep.Strong communication and collaboration skills.Ability to translate business requirements into technical solutions.
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