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# Data Architect

- **Company:** Tiger Analytics
- **Location:** Johnston, RI, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Data Analysis, Cloud Computing, Cloud Engineering, Data Architecture, Information Engineering, Data Governance, Interoperability, Meta-Data Management, Data Streaming, Snowflake, Real Time Data, Apache Kafka, Physical Data Models, Domain Driven Design, Data Pipelines, Legacy Systems
- **Published:** November 7, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-architect-johnston-ri--8f932dbc-16b4-4ff9-a0db-72fe306c1a93

## About the Role

DataArchitect Data Modeling Tool, Artificial Intelligence (AI), Interoperability, Cloud Computing, DataArchitect Data Modeling Tool, Data Modeling, Use Cases, Operational Audit, Data Analysis, Technical Support

## Description

If you are passionate about leading large-scale cloud and data modernization initiatives that transform enterprise platforms, we would love to hear from you. We are seeking an experienced and dynamic professional to play a key role in assessing, planning, and driving enterprise migration programs across data, applications, and cloud platforms. This role will help clients modernize their technology landscape, optimize legacy systems, and enable scalable, cloud-native architectures aligned with business goals. The Data Architect 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., * 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.