Technology Architect | Database | Data Modeling

Data Modelers With Expertise In Data Modelling Specific To Fs Domain

Work Location:

Johnston, RI

Contract duration: 6 months

Target

Start Date:

01 Aug 2026

Does this position require Visa independent candidates only? YES hybrid work set-up

• 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.

• 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, ***, or similar). Hands-on experience with enterprise data catalog and metadata systems. AWS certification (Solutions Architect, Data Analytics Specialty, etc.)