[Remote] Data Architecture & Data Modeling Consultant (Full Time Role)

Remote Full-time
Note: The job is a remote job and is open to candidates in USA. Global Data Strategy, Ltd. is a boutique data management consultancy seeking an experienced data architect and data modeler. The role involves steering data architecture for clients, focusing on data warehousing and analytics platforms, while developing data architecture and modeling best practices.

Responsibilities
β€’ Helping to develop data architecture and data modeling including data warehousing best practices, master data management, and data quality
β€’ Data warehousing design & implementation (3NF, Star Schema)
β€’ Data modeling (conceptual, logical, physical, dimensional/relational)
β€’ Data Warehouse Documentation & Requirements Analysis
β€’ Master Data Management Design and Implementation (data modeling, source/target mapping, business rules and data quality rules)
β€’ Data Quality Management (data quality rules and tooling/implementation)
β€’ Technical Architecture solution design and implementation & best practice experience
β€’ Experience with a broad range of technical data platforms and the ability to advise customers on the right technical solutions to enable their business goals
β€’ Experience of planning and conducting business and technical stakeholder interviews, undertaking requirements analysis and performing current state system analysis
β€’ Ability to manage own time effectively, work with key stakeholders, and provide ongoing deliverables with minimal supervision
β€’ Solution-oriented, with the imagination to identify quick wins for critical problems
β€’ Proven consulting experience, ideally in an external consultative role or an internal role within a sizeable organization

Skills
β€’ Data architecture experience, with particular expertise in data warehousing, data lakehouse, business intelligence (BI) and semantic layers, master data management, and data quality
β€’ Data warehousing design & implementation (3NF, Star Schema) – 5-8 years of experience
β€’ Data modeling (conceptual, logical, physical, dimensional/relational)
β€’ Data Warehouse Documentation & Requirements Analysis
β€’ Experience with modern & data platforms (MS SQL Server, Oracle, Snowflake, Azure, AWS, etc.)
β€’ Master Data Management Design and Implementation (data modeling, source/target mapping, business rules and data quality rules)
β€’ Data Quality Management (data quality rules and tooling/implementation)
β€’ Technical Architecture solution design and implementation & best practice experience
β€’ Experience with a broad range of technical data platforms and the ability to advise customers on the right technical solutions to enable their business goals
β€’ Strong communication skills (written & spoken)
β€’ Experience of planning and conducting business and technical stakeholder interviews, undertaking requirements analysis and performing current state system analysis
β€’ Must be enthusiastic and self-motivated, and can work as part of a small expert global team
β€’ Ability to manage own time effectively, work with key stakeholders, and provide ongoing deliverables with minimal supervision
β€’ Solution-oriented, with the imagination to identify quick wins for critical problems
β€’ Positive, β€˜can-do' attitude
β€’ Proven consulting experience, ideally in an external consultative role or an internal role within a sizeable organization

Benefits
β€’ Full benefits including health care
β€’ Vision
β€’ Dental
β€’ 401K
β€’ Life insurance
β€’ And more

Company Overview
β€’ Global Data Strategy is an international data management consulting company that specializes in the alignment of business drivers with data-centric technology. It was founded in 2015, and is headquartered in Nederland, Colorado, USA, with a workforce of 11-50 employees. Its website is http://www.globaldatastrategy.com.

Company H1B Sponsorship
β€’ Global Data Strategy, Ltd has a track record of offering H1B sponsorships, with 1 in 2023. Please note that this does not guarantee sponsorship for this specific role.

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