Data Architect / Modeler

• Data Architect / Modeler
• Location:- Westwood, MA or Johnston, RI (Onsite)
• Overall 10+ years

JD:-

The Business Data Architect/Modeler (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 realtime streaming architectures using Kafka. This role drives alignment across business domains and enables highquality, governed, and interoperable data for analytics and operational use cases.

Required Skills & Experience

• Significant experience with canonical data modeling and enterprisewide conceptual/logical/physical modeling.
• Strong background in semantic modeling and data mesh design principles.
• Handson experience with Kafka, including event modeling, schema strategy, and realtime 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.

Preferred Qualifications

• Experience with big data technologies (Spark, EMR, Delta, or similar).
• Handson experience with enterprise data catalog and metadata systems.
• AWS certification (Solutions Architect, Data Analytics Specialty, etc.).
• Bachelor s degree in computer science, Information Systems, or related field (Master s preferred).

Key Responsibilities

• Develop and enhance canonical data models, semantic models, and domaindriven data contracts to enable crossenterprise 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 realtime streaming solutions using Kafka.
• Partner with product owners, domain architects, and data engineering teams to translate business needs into scalable, wellgoverned 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 realtime data integration, semantic mesh, and AI/ML enablement through strong data architecture foundations.