Visionary Innovative Technology Solutions LLC
Senior Data Architect (with Data Modeler + Azure + DataBricks + Data Vault + ERW
Visionary Innovative Technology Solutions LLC, Trenton, New Jersey, United States
Overview
Position:
Senior Data Architect (with Data Modeler + Azure + DataBricks + Data Vault + ERWin) Location:
Mount Laurel, NJ (4 days/week) Duration:
Contract/ Full Time Experience:
14-15+ Years Responsibilities
Data Modeling:
Design and develop data models using Data Vault methodologies to ensure robust, scalable, and flexible data architectures. Create and maintain conceptual, logical, and physical data models to support business requirements. Collaborate with stakeholders to understand data requirements and translate them into effective data models. Implement best practices for data modeling, including normalization, denormalization, and data integration. Data Vault Implementation:
Utilize Data Vault techniques to build enterprise data lake and lake house and integrate disparate data sources. Design and implement Hubs, Links, and Satellites to ensure comprehensive data capture and historical tracking. Optimize data vault models for performance and scalability. Design and deploy data models on Azure Data Services, including Azure SQL Database, Azure Data Lake, and Azure Synapse Analytics. Ensure data security, compliance, and best practices in Azure environments. Qualifications & Requirements
Bachelor’s degree in Computer Science, Information Systems, or a related field (Master’s degree preferred). Proven experience in data modeling, with a strong focus on Data Vault techniques. Proficiency in Cloud Azure services, including Azure Data Lake, Azure SQL Database, and Azure Synapse Analytics. Understand/Knowledge with Databricks and its ecosystem. Strong understanding of data warehousing concepts, Data Lake house, ETL processes, and data integration techniques. Excellent analytical and problem-solving skills with attention to detail. Strong communication and collaboration skills to work effectively with cross-functional teams. Relevant certifications in Azure and Databricks are a plus. Tools
Data modeling tools (e.g.
Power Designer ,
ERWin ,
ER/Studio ) Seniority & Employment
Seniority level: Mid-Senior level Employment type: Contract Note: This listing includes the core responsibilities and qualifications for the role as described. Other job posting details present in the original text have been omitted for clarity.
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Position:
Senior Data Architect (with Data Modeler + Azure + DataBricks + Data Vault + ERWin) Location:
Mount Laurel, NJ (4 days/week) Duration:
Contract/ Full Time Experience:
14-15+ Years Responsibilities
Data Modeling:
Design and develop data models using Data Vault methodologies to ensure robust, scalable, and flexible data architectures. Create and maintain conceptual, logical, and physical data models to support business requirements. Collaborate with stakeholders to understand data requirements and translate them into effective data models. Implement best practices for data modeling, including normalization, denormalization, and data integration. Data Vault Implementation:
Utilize Data Vault techniques to build enterprise data lake and lake house and integrate disparate data sources. Design and implement Hubs, Links, and Satellites to ensure comprehensive data capture and historical tracking. Optimize data vault models for performance and scalability. Design and deploy data models on Azure Data Services, including Azure SQL Database, Azure Data Lake, and Azure Synapse Analytics. Ensure data security, compliance, and best practices in Azure environments. Qualifications & Requirements
Bachelor’s degree in Computer Science, Information Systems, or a related field (Master’s degree preferred). Proven experience in data modeling, with a strong focus on Data Vault techniques. Proficiency in Cloud Azure services, including Azure Data Lake, Azure SQL Database, and Azure Synapse Analytics. Understand/Knowledge with Databricks and its ecosystem. Strong understanding of data warehousing concepts, Data Lake house, ETL processes, and data integration techniques. Excellent analytical and problem-solving skills with attention to detail. Strong communication and collaboration skills to work effectively with cross-functional teams. Relevant certifications in Azure and Databricks are a plus. Tools
Data modeling tools (e.g.
Power Designer ,
ERWin ,
ER/Studio ) Seniority & Employment
Seniority level: Mid-Senior level Employment type: Contract Note: This listing includes the core responsibilities and qualifications for the role as described. Other job posting details present in the original text have been omitted for clarity.
#J-18808-Ljbffr