Technology Architect | Database | Data Modeling

Expedite Talent Solutions; Johnston (RI); Hybrid; USD 120,000 - 170,000; Part time

Job summary

Expedite Talent Solutions is seeking Data Modelers with expertise in data modelling for FS domain. Hybrid work setup in Johnston, RI. Requires 8–10 years of experience and Visa independence. Engages in canonical data modeling, semantic mesh, and real-time pipelines using Kafka and AWS/Snowflake.

Role focuses on enterprise data architecture, governance, and scalable data contracts across domains with strong SQL/Python skills and cross-team collaboration.

Qualifications

• Significant experience with canonical data modeling across enterprise domains.
• Strong background in semantic modeling and data mesh principles.
• Hands-on Kafka experience with event modeling and real-time pipelines.
• Proficiency in AWS data services (S3, Redshift, Glue, EMR, Lambda) and Snowflake.
• Strong SQL and Python; excellent cross-team communication.
• Knowledge of data governance, metadata, lineage, and data quality.

Responsibilities

• Develop and enhance canonical data models, semantic models, and domain-driven data contracts for cross-enterprise interoperability.
• Produce conceptual, logical, and physical data models aligned to business capabilities and data mesh principles.
• Design and implement data architecture patterns for real-time streaming using Kafka.
• Collaborate with product owners, domain architects, and data engineering teams to translate requirements into scalable models.
• Ensure governance, metadata management, and lineage standards across data domains.
• Architect and optimize data pipelines and storage using AWS services and Snowflake.
• Contribute architectural artifacts, standards, and templates for enterprise data modeling.
• Support real-time data integration and AI/ML enablement through strong data foundations.

Skills

Canonical data modeling

Semantic data mesh

Kafka real-time streaming

AWS data services

Snowflake

ETL/ELT design

Data governance & metadata

SQL

Python

Cross-team communication

Tools

Spark

EMR

Enterprise data catalog

Metadata management tools

Job description

Description: Job Title: Data Modelers with Expertise in Data Modelling specific to FS domain

Work Location: JohnstonRI2919

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, ***, 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

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• Name: Intake Call Completed Value: false
• Name: Intake Call Requested Value: true