Inizio Partners
Data Modeler & Architect
Inizio Partners - New Brunswick, New Jersey, us, 08933
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Overview
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Overview
About the job Data Modeler & Architect
We are seeking a skilled Data Modeler and Architect to join our team, dedicated to optimizing the data architecture for our esteemed pharmaceutical client. This role is ideal for someone who thrives in understanding complex data environments and is adept at designing data models that empower analytical and operational capabilities.
Key Responsibilities:
Evaluate and interpret existing data structures to ensure optimal performance and alignment with industry standards in the clinical/healthcare domain. Design and implement robust data models that support the integration and functionality of various applications and analytics platforms. Develop and maintain scalable and efficient data pipelines using ETL processes tailored for AWS and Databricks environments. Collaborate with cross-functional teams to gather requirements and deliver high-quality data architecture solutions that meet the strategic needs of the business. Implement and manage SQL modeling techniques to enhance data retrieval and analysis. Leverage knowledge of visualization tools to aid in data interpretation and decision-making processes. Ensure adherence to best practices in database management and data integration. Required Skills and Qualifications:
Proven experience as a Data Architect or Data Modeler, specifically within the clinical or healthcare sector. Strong proficiency with AWS cloud services and Databricks. Expertise in ETL processes and SQL database modeling. Familiarity with at least one data visualization tool (e.g., Tableau, PowerBI). Excellent problem-solving skills and the ability to manage complex data sets. Strong communication and interpersonal skills, capable of working collaboratively in a dynamic environment. Desirable Skills:
Experience with Agile methodologies. Knowledge of cloud operations and management. A proactive approach to continuous learning and skill development. Education:
Bachelors or Masters degree in Computer Science, Data Science, Information Technology, or a related field.
We are seeking a skilled Data Modeler and Architect to join our team, dedicated to optimizing the data architecture for our esteemed pharmaceutical client. This role is ideal for someone who thrives in understanding complex data environments and is adept at designing data models that empower analytical and operational capabilities.
Key Responsibilities:
Evaluate and interpret existing data structures to ensure optimal performance and alignment with industry standards in the clinical/healthcare domain. Design and implement robust data models that support the integration and functionality of various applications and analytics platforms. Develop and maintain scalable and efficient data pipelines using ETL processes tailored for AWS and Databricks environments. Collaborate with cross-functional teams to gather requirements and deliver high-quality data architecture solutions that meet the strategic needs of the business. Implement and manage SQL modeling techniques to enhance data retrieval and analysis. Leverage knowledge of visualization tools to aid in data interpretation and decision-making processes. Ensure adherence to best practices in database management and data integration. Required Skills and Qualifications:
Proven experience as a Data Architect or Data Modeler, specifically within the clinical or healthcare sector. Strong proficiency with AWS cloud services and Databricks. Expertise in ETL processes and SQL database modeling. Familiarity with at least one data visualization tool (e.g., Tableau, PowerBI). Excellent problem-solving skills and the ability to manage complex data sets. Strong communication and interpersonal skills, capable of working collaboratively in a dynamic environment. Desirable Skills:
Experience with Agile methodologies. Knowledge of cloud operations and management. A proactive approach to continuous learning and skill development. Education:
Bachelors or Masters degree in Computer Science, Data Science, Information Technology, or a related field.