Data Architect - Boston, MA, United States - RICEFW Technologies

Description

Please Note:
As of July 22, 2021, our team will require that all candidate submissions include a LinkedIn profile. Please do not submit any candidates that do not have a LinkedIn.


Roles and Responsibilities:
Contribute to the Enterprise Logical Data Model (ELDM) by defining repeatable patterns across the enterprise.

Become the subject matter expert (SME) on the topic, current and potential future uses of data, and the quality and interrelationship between core elements of the data repositories and data products.

Understand the platforming side of things. Being able to identify data quality issues and knowing how to integrate data is a must skillset.
Skillset Required


Foundation in systems development:

the data architect should understand the system development life cycle; software project management approaches; and requirements, design, and test techniques.

The data architect is asked to conceptualize and influence application and interface projects, and therefore must understand what advice to give and where to plug in to steer toward desirable outcomes.

Depth in data modeling and database design: This is the core skill of the data architect, and the most requested in data architect job descriptions.

The effective data architect is sound across all phases of data modeling, from conceptualization to database optimization.
In his/her experience this skill extends to SQL development and perhaps database administration.

Breadth in established and emerging data technologies: In addition to depth in established data management and reporting technologies, the data architect is either experienced or conversant in emerging tools like columnar and NoSQL databases, predictive analytics, data visualization, and unstructured data.

While not necessarily deep in all of these technologies, the data architect hopefully is experienced in one or more, and must understand them sufficiently to guide the organization in understanding and adopting them.

Required Skills :
Skillset Required


Foundation in systems development:

the data architect should understand the system development life cycle; software project management approaches; and requirements, design, and test techniques.

The data architect is asked to conceptualize and influence application and interface projects, and therefore must understand what advice to give and where to plug in to steer toward desirable outcomes.

• Depth in data modeling and database design: This is the core skill of the data architect, and the most requested in data architect job descriptions.

  The effective data architect is sound across all phases of data modeling, from conceptualization to database optimization. In his/her experience this skill extends to SQL development and perhaps database administration.

• Breadth in established and emerging data technologies: In addition to depth in established data management and reporting technologies, the data architect is either experienced or conversant in emerging tools like columnar and NoSQL databases, predictive analytics, data visualization, and unstructured data.

  While not necessarily deep in all of these technologies, the data architect hopefully is experienced in one or more, and must understand them sufficiently to guide the organization in understanding and adopting them.

Rank :
B2Requested Date : Employment type:C2CExperience:N/ASkills:design, Data Visualization, predictive analytics, Skillset Required

Foundation in systems development:
the data architect should understand the system development life cycle; software project management approaches; and requirements, and test techniques The data architect is asked to conceptualize and influence application and interface projects, and therefore must understand what advice to give and where to plug in to steer toward desirable outcomes

• Depth in data modeling and database design: This is the core skill of the data architect, and the most requested in data architect job descriptions.

  The effective data architect is sound across all phases of data modeling, the data architect is either experienced or conversant in emerging tools like columnar and NoSQL databases, and unstructured data While not necessarily deep in all of these technologies, the data architect hopefully is experienced in one or more, from conceptualization to database optimization In his/her experience this skill extends to SQL development and perhaps database administration
• Breadth in established and emerging data technologies: In addition to depth in established data manageme, and must understand them sufficiently to guide the organization in understanding and adopting them