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Technology Architect | Database | Data Modeling

Job in Johnston, Providence County, Rhode Island, 02919, USA
Listing for: IMCS Group Inc
Full Time position
Listed on 2026-07-23
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing
Job Description & How to Apply Below
Company

Description:

IMCS Group is one of the fastest growing MWBE (Minority Woman Owned Enterprise) staffing firms in the U.S. We focus on bringing a Diversity Recruitment approach to Fortune 500 companies within North America and EMEA region contingent labor programs. IMCS Group excels in providing top talent in IT, Healthcare, Engineering, Finance, Light Industrial, Contact Center, and Clerical. We have offices in the US, Canada, Mexico, and India in which we can provide support to our clients.

Description:

Job Title:

Data Modelers with Expertise in Data Modelling specific to FS domain

Work Location:

JohnstonRI
2919
Vendor Rate: **
* Contract duration: 6
Target

Start Date:

01 Aug 2026
Does this position require Visa independent candidates only? YES

** hybrid work set-up*
* Job Details:

Must Have

Skills:

Significant experience with canonical data modeling and enterprise wide conceptual/logical/physical modeling.
Strong background in semantic modeling and data mesh design principles.
Hands on experience with Kafka, including event modeling, schema strategy, and real time pipeline architecture.
Proficiency in AWS data services (S3, Redshift, Glue, EMR, Lambda, EC2) and Snowflake.
Strong understanding of ETL/ELT design, data integration patterns, and distributed data systems.
Familiarity with data governance, data quality, metadata, and lineage frameworks.
Strong SQL skills and proficiency in at least one programming language (Python preferred).
Excellent communication skills with the ability to work across technical and business teams

The Business Data Architect (Contract) will support enterprise data initiatives by designing and delivering scalable, modern data architecture solutions with a primary focus on canonical data modeling, semantic data mesh, and real time streaming architectures using Kafka. This role drives alignment across business domains and enables high quality, governed, and interoperable data for analytics and operational use cases

Key Responsibilities

Develop and enhance canonical data models, semantic models, and domain driven data contracts to enable cross enterprise data interoperability.
Produce conceptual, logical, and physical data models aligned to business capabilities, modernization goals, and data mesh principles.
Design and implement data architecture patterns to support real time streaming solutions using Kafka.
Partner with product owners, domain architects, and data engineering teams to translate business needs into scalable, well governed data models.
Ensure consistent application of data governance, metadata management, and lineage standards across data domains.
Architect and optimize data pipelines and storage solutions using AWS (S3, Redshift, Glue, EMR, Lambda) and Snowflake.
Contribute architectural artifacts, modeling standards, and reusable templates for enterprise data modeling.
Support enterprise initiatives around real time data integration, semantic mesh, and AI/ML enablement through strong data architecture foundations.

Minimum years of experience
8-10 years

Certification needed:

Experience with big data technologies (Spark, EMR, Delta, or similar).
Hands on experience with enterprise data catalog and metadata systems.
AWS certification (Solutions Architect, Data Analytics Specialty, etc.).

Interview Process (Is face to face required?)
No

Any additional information you would like to share about the project specs/ nature of work

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EEOC

Disclaimer: IMCS Group is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. IMCS Group is committed to maintaining an inclusive workforce, where employees are hired, retained, compensated, and promoted based on their contributions to our Company.
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