Data Architect

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.

KFORCE URGENT REQUIREMENT

Looking for candidates regarding the following :

POSITION

Data Architect

LOCATION

6+ months

DURATION

2-3 Days onsite in Lincoln, RI-must be local

INTERVIEW TYPE

Video

VISA TYPE

Any

REQUIRED SKILLS

Top Skills :

Snowflake

Data Architecture

Medallion / Data Lake architecture

AWS

Requirements

At least 3-4 years of work experience in data management disciplines including data integration, data modeling, solutions architecture, optimization, and data quality

Knowledge of business systems and processes and their impact on data and analytics objectives

Ability to assess rapidly changing technologies and apply them to business needs

Business domain, data / content and process understanding

Understanding of the Business Intelligence, Data Engineering and Data Science and Data Governance processes and platforms

Thorough knowledge of relational and non-relational database theory and structured query language (SQL)

Understanding of common data architecture frameworks

Understanding of metadata models, taxonomies, and ontologies, as well as of the challenges of applying structured techniques (data modeling) to less-structured sources

Skilled working across multiple deployment environments including cloud, on-premises, and hybrid

Adept at applying software engineering methodologies and DevOps principles to data architectures and platforms to improve the communication, integration, reuse, and automation of data flows across the organization

Exceptional analytical, quantitative, and logical problem-solving abilities

Must be highly creative, collaborative, and able to communicate effectively with IT and business

Capacity to be productive when working independently or collaboratively

Ability to effectively manage time to handle competing high priority projects

Lead and Principal Positions Requirements (in addition to requirements above)

Required Skills : Bachelor?s degree in data management, computer science, information systems, mathematics, data / analytics or a related field preferred or equivalent work experience At least 3-4 years of work experience in data management disciplines including data integration, data modeling, solutions architecture, optimization and data quality Knowledge of business systems and processes and their impact on data and analytics objectives Ability to assess rapidly changing technologies and apply them to business needs Business domain, data / content and process understanding Understanding of the Business Intelligence, Data Engineering and Data Science and Data Governance processes and platforms Thorough knowledge of relational and non-relational database theory and structured query language (SQL) Understanding of common data architecture frameworks Understanding of metadata models, taxonomies and ontologies, as well as of the challenges of applying structured techniques (data modeling) to less-structured sources Skilled working across multiple deployment environments including cloud, on-premises and hybrid Adept at applying software engineering methodologies and DevOps principles to data architectures and platforms to improve the communication, integration, reuse and automation of data flows across the organization Exceptional analytical, quantitative and logical problem-solving abilities Must be highly creative, collaborative, and able to communicate effectively with IT and business Capacity to be productive when working independently or collaboratively Ability to effectively manage time to handle competing high priority projects

Basic Qualification :

Additional Skills :

Background Check : No

Drug Screen : No

Rank : A3

Requested Date : 2025-11-03