REMOTE must report on-site for 1st dayDescription:The TS4 will make technical decisions affecting configuration and implementation of data analytics environments, data platforms, integration systems, and environment-specific data storage solutions. The position will collaborate with IT Architecture staff, the client, and IT Managers to design data solutions aligned with the client business needs, enterprise standards, and long-term architectural direction. The TS4 will assist in evaluating solution designs, contributing to business case analysis, and recommending IT architecture improvements.This role will serve as a significant contributor to the client’s data modeling and data architecture practices, including:Designing and maintaining conceptual, logical, and physical data models supporting enterprise analytics and operational systemsEstablishing and promoting data modeling standards, naming conventions, and design patternsContributing to the development and evolution of the client’s enterprise data architecture roadmapSupporting domain-driven and scalable data design approaches aligned with enterprise data platforms and data governance objectivesProviding architectural guidance to ensure data solutions are reusable, interoperable, and aligned with enterprise integration strategiesThe TS4 will recommend technical strategy by defining tasks and leading technical discussions related to design, implementation, operation, optimization, and ongoing maintenance of data systems. The position will work closely with Enterprise partners to determine and configure integrations between the client systems and enterprise data lake, data quality, and data curation platforms.It is critical that this position possess at least five (5) years of proven experience related to data integration, data cleansing, data classification, and data modeling. The TS4 will provide technical leadership and guidance to the client’s Data Management team by designing and implementing best-practice solutions for integrating client and enterprise data platform environments.Expected technologies and environments include, but are not limited to:Salesforce platformsMicrosoft Environments including Azure and DynamicsStreamSets data integration pipelinesAWS S3 storage environmentsSnowflake data platformTableau analytics integrationMicrosoft SQL Server systemsThe TS4 will operate as part of a collaborative team consisting of Database Administrators, Data Engineers, and Business Intelligence professionals, while serving as a senior technical resource influencing architectural direction, data standards, and engineering best practices across the client.Skill - Required / Desired - Amount of ExperienceExperience with Salesforce platforms - Required - 5 YearsExperience with Microsoft Environments including Azure and Dynamics - Required - 5 YearsDemonstrated hands-on experience with Salesforce platform capabilities including Apex, Lightning Web Components, Salesforce Flow, validation rules - Required - 5 YearsExperience with Snowflake data platform - Required - 5 YearsExperience with Tableau analytics integration - Required - 5 Years Notes:REMOTE must report on-site for 1st dayVIVA is an equal opportunity employer. All qualified applicants have an equal opportunity for placement, and all employees have an equal opportunity to develop on the job. This means that VIVA will not discriminate against any employee or qualified applicant on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status
Description:The TS4 will make technical decisions affecting configuration and implementation of data analytics environments, data platforms, integration systems, and environment-specific data storage solutions. The position will collaborate with IT Architecture staff, the client, and IT Managers to design data solutions aligned with the client business needs, enterprise standards, and long-term architectural direction. The TS4 will assist in evaluating solution designs, contributing to business case analysis, and recommending IT architecture improvements.This role will serve as a significant contributor to the client’s data modeling and data architecture practices, including:Designing and maintaining conceptual, logical, and physical data models supporting enterprise analytics and operational systemsEstablishing and promoting data modeling standards, naming conventions, and design patternsContributing to the development and evolution of the client’s enterprise data architecture roadmapSupporting domain-driven and scalable data design approaches aligned with enterprise data platforms and data governance objectivesProviding architectural guidance to ensure data solutions are reusable, interoperable, and aligned with enterprise integration strategiesThe TS4 will recommend technical strategy by defining tasks and leading technical discussions related to design, implementation, operation, optimization, and ongoing maintenance of data systems. The position will work closely with Enterprise partners to determine and configure integrations between the client systems and enterprise data lake, data quality, and data curation platforms.It is critical that this position possess at least five (5) years of proven experience related to data integration, data cleansing, data classification, and data modeling. The TS4 will provide technical leadership and guidance to the client’s Data Management team by designing and implementing best-practice solutions for integrating client and enterprise data platform environments.Expected technologies and environments include, but are not limited to:Salesforce platformsMicrosoft Environments including Azure and DynamicsStreamSets data integration pipelinesAWS S3 storage environmentsSnowflake data platformTableau analytics integrationMicrosoft SQL Server systemsThe TS4 will operate as part of a collaborative team consisting of Database Administrators, Data Engineers, and Business Intelligence professionals, while serving as a senior technical resource influencing architectural direction, data standards, and engineering best practices across the client.Skill - Required / Desired - Amount of ExperienceExperience with Salesforce platforms - Required - 5 YearsExperience with Microsoft Environments including Azure and Dynamics - Required - 5 YearsDemonstrated hands-on experience with Salesforce platform capabilities including Apex, Lightning Web Components, Salesforce Flow, validation rules - Required - 5 YearsExperience with Snowflake data platform - Required - 5 YearsExperience with Tableau analytics integration - Required - 5 Years
Notes:
REMOTE must report on-site for 1st day
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