What are the responsibilities and job description for the Data Architect - MS Fabric position at ZealHire.com?
Job Details
USC
need LinkedIn, VISA DL
Must be within 1 hour drive from Camden
The Data Architect (Data & Analytics) will design and deliver comprehensive data solutions using Microsoft Fabric. The role requires demonstrated data engineering skills with the focus on cloud computing architecture, establishing the Medallion architecture, standards, design, automation and implementation, and close collaboration with internal clients to understand their business needs, translate them into technical requirements, and design scalable, secure, and efficient data lake architecture. The candidate's expertise in Microsoft Azure and Fabric will be instrumental in enabling Client to optimize its multi-source data integration, ingestion, security as well as implement cloud analytics, and automation process landscape.
Responsibilities:
Foundational Responsibility: Demonstrates Client's Core Values and Service Standards, and Leadership Must Haves. Utilizes AIDET at all times. (Applies to All Employees)
Architecture - Design end-to-end data and analytics solutions using Microsoft Fabric, ensuring alignment with Cooper's business goals and technical requirements. Lead in establishing healthcare data foundations with information accuracy, usability, safeguarding, performance and optimal balance between business need and computation cost as the primary framework.
Implement Fabric workloads and features, such as Lakehouse, Data Warehouse, Semantic Model, Data Factor, Data Flow, Notebooks, Data Activator, Reflex, Deployment Pipelines, Workspace, Apps, Power BI, etc.
Technical Leadership: Lead the technical delivery of data projects, guiding development teams in implementing solutions based on the designed architecture. Help establish standards and methodology to manage Medallion Data Lake architecture. Create and socialize workspace architecture, including secured access, data standard, file size and consumable standards to balance business need and operating cost.
Customer Engagement: Engage with various Client internal data consumers to gather requirements, provide expert advice, and recommend best practices for leveraging Microsoft Fabric in their data strategy.
Data Integration & Ingestion: Architect solutions that integrate data from multiple source systems into Microsoft Fabric, ensuring data quality, security, consistency, and accessibility.
Performance Optimization: Optimize data architectures for performance, scalability, and reliability; leveraging Microsoft Fabric's capabilities.
Microsoft Purview: Lead the design and implementation of Microsoft Purview Catalog best practices, including domain definitions, access policies, user roles, data products and elements, as well as pro-active monitoring of catalog to ensure that data trust is established, and completeness and quality are maintained.
Documentation: Create detailed architectural documentation, including technical specifications, data flow diagrams, and implementation guides.
Training and Knowledge Sharing: Provide training and mentorship to develop teams, ensuring successful adoption and utilization of Microsoft Fabric.
Continuous Improvement: Stay current with the latest advancements in Microsoft Fabric and related technologies, continuously enhancing your expertise and the solutions you deliver.
Advanced Analytics: Assist with design and implementation of cloud-based analytics solutions, including data warehousing, real-time analytics, and machine learning, using Microsoft Fabric and related MS technologies:
Azure services and features, such as Azure Synapse Analytics, Azure Data Factory, Azure Storage Accounts, Azure Logic Apps, Azure Functions, Azure SQL Database, Azure Active Directory, Azure DevOps, Azure Monitor, etc.
This description is not intended to contain an exhaustive list of duties and responsibilities that the employee may be required to complete. There may be other duties as assigned.
Supervisory & Budget Responsibility:
Bachelor's degree in engineering, computer science, business administration or other technical discipline field
Master's degree in computer science or other technical discipline preferred
Special Considerations Explained (if needed):
10 additional years of comparable work experience beyond the required years of experience may be substituted for a lack of Bachelor's degree.
6 years of experience in data architecture, data engineering, or similar roles, with at least 3 years specializing in Microsoft Azure technologies.
Experience in a client-facing or consulting role, delivering technical solutions to enterprise clients.
Relevant certifications in Microsoft technologies (e.g., Azure Solutions Architect, Microsoft Certified: Data Engineer) are needed.
Licensure, Certification, and Registration
Special Considerations
MS Azure Architect Design (AZ-305)
MS Certified: Azure Data Engineer (DP-203)
Responsibilities:
Foundational Responsibility: Demonstrates Client's Core Values and Service Standards, and Leadership Must Haves. Utilizes AIDET at all times. (Applies to All Employees)
Architecture - Design end-to-end data and analytics solutions using Microsoft Fabric, ensuring alignment with Cooper's business goals and technical requirements. Lead in establishing healthcare data foundations with information accuracy, usability, safeguarding, performance and optimal balance between business need and computation cost as the primary framework.
Implement Fabric workloads and features, such as Lakehouse, Data Warehouse, Semantic Model, Data Factor, Data Flow, Notebooks, Data Activator, Reflex, Deployment Pipelines, Workspace, Apps, Power BI, etc.
Technical Leadership: Lead the technical delivery of data projects, guiding development teams in implementing solutions based on the designed architecture. Help establish standards and methodology to manage Medallion Data Lake architecture. Create and socialize workspace architecture, including secured access, data standard, file size and consumable standards to balance business need and operating cost.
Customer Engagement: Engage with various Client internal data consumers to gather requirements, provide expert advice, and recommend best practices for leveraging Microsoft Fabric in their data strategy.
Data Integration & Ingestion: Architect solutions that integrate data from multiple source systems into Microsoft Fabric, ensuring data quality, security, consistency, and accessibility.
Performance Optimization: Optimize data architectures for performance, scalability, and reliability; leveraging Microsoft Fabric's capabilities.
Microsoft Purview: Lead the design and implementation of Microsoft Purview Catalog best practices, including domain definitions, access policies, user roles, data products and elements, as well as pro-active monitoring of catalog to ensure that data trust is established, and completeness and quality are maintained.
Documentation: Create detailed architectural documentation, including technical specifications, data flow diagrams, and implementation guides.
Training and Knowledge Sharing: Provide training and mentorship to develop teams, ensuring successful adoption and utilization of Microsoft Fabric.
Continuous Improvement: Stay current with the latest advancements in Microsoft Fabric and related technologies, continuously enhancing your expertise and the solutions you deliver.
Advanced Analytics: Assist with design and implementation of cloud-based analytics solutions, including data warehousing, real-time analytics, and machine learning, using Microsoft Fabric and related MS technologies:
Azure services and features, such as Azure Synapse Analytics, Azure Data Factory, Azure Storage Accounts, Azure Logic Apps, Azure Functions, Azure SQL Database, Azure Active Directory, Azure DevOps, Azure Monitor, etc.
This description is not intended to contain an exhaustive list of duties and responsibilities that the employee may be required to complete. There may be other duties as assigned.
Supervisory & Budget Responsibility:
Bachelor's degree in engineering, computer science, business administration or other technical discipline field
Master's degree in computer science or other technical discipline preferred
Special Considerations Explained (if needed):
10 additional years of comparable work experience beyond the required years of experience may be substituted for a lack of Bachelor's degree.
6 years of experience in data architecture, data engineering, or similar roles, with at least 3 years specializing in Microsoft Azure technologies.
Experience in a client-facing or consulting role, delivering technical solutions to enterprise clients.
Relevant certifications in Microsoft technologies (e.g., Azure Solutions Architect, Microsoft Certified: Data Engineer) are needed.
Licensure, Certification, and Registration
Special Considerations
MS Azure Architect Design (AZ-305)
MS Certified: Azure Data Engineer (DP-203)
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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