Offer summary

Qualifications:

Minimum 3-5 years of experience as an Information Architect or similar role., Proven experience with Microsoft Dynamics 365 data models and entities., Expertise in Microsoft Azure data storage solutions, such as Azure Data Lake Storage., Strong understanding of data modeling concepts and best practices..

Key responsabilities:

Design and implement data architecture solutions using Microsoft Dynamics 365 and Azure.

Collaborate with stakeholders to translate business needs into technical solutions.

Utilize data transformation tools like Azure Data Factory for data processing.

Create visualizations and reports using Power BI to support data-driven decision making.

We are a staffing solutions and IT Solutions company that provides you with a platform to find the right fit for your desired job profile. The employment situation is constantly shifting with the changing times, and we are here to ensure that you gather the workforce that compliments your long-term goals. We understand the struggle of the search for talent that accommodates the skills and qualifications for specific profiles, one that blends in with the theme of your organization. We aim to be the best available source for young talent to find their dream jobs, by helping them narrowing down their options to the most suitable work profiles available in the market. At RIG, we consistently work towards creating the latest technology that may not only simplify your work process but also provides you with the most cost-effective solutions. We work hard to make sure that your business strives in the market to be on the top in your field.

Job description

Title: Dynamics 365 and Azure - Information Architect
Start Date: ASAP
Rate: $DOE
Duration: 5-6 months
Location:CA

Qualifications:

Minimum 3-5 years of experience as an Information Architect, Data Architect, or similar role.
Proven experience with Microsoft Dynamics 365 data models and entities.
Expertise in Microsoft Azure data storage solutions, such as Azure Data Lake Storage.
Strong understanding of data modeling concepts and best practices.
Proficiency in data transformation tools like Azure Data Factory or SSIS.
In-depth knowledge of Power BI for data visualization and report creation.
Excellent communication and collaboration skills.
Ability to translate business needs into technical solutions.