Data Architect — Real-Time Data Mesh & Cloud Modernization

Tiger Analytics; Johnston (RI); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote-friendly culture

Global career opportunities

Job summary

Tiger Analytics in Johnston, RI seeks an experienced Data Architect to lead enterprise migration and modern data architecture initiatives. You will design scalable data models, implement real-time streaming with Kafka, and align data platforms with business goals across cloud and on-premises environments.

You will collaborate with product owners and data engineering teams, govern metadata and lineage, and optimize pipelines using AWS services and Snowflake.

Qualifications

• 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 Python.
• Excellent communication skills with the ability to work across technical and business teams.
• AWS certification (Solutions Architect, Data Analytics Specialty, etc.)

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

Skills

Canonical data modeling

Data mesh design

Kafka real-time streaming

AWS data services

Snowflake

ETL/ELT design

Data governance & lineage

SQL

Python

Cross-team communication

Tools

Kafka

AWS

Snowflake

Python

SQL

Job description

Tiger Analytics in Johnston, RI seeks an experienced Data Architect to lead enterprise migration and modern data architecture initiatives. You will design scalable data models, implement real-time streaming with Kafka, and align data platforms with business goals across cloud and on-premises environments.

You will collaborate with product owners and data engineering teams, govern metadata and lineage, and optimize pipelines using AWS services and Snowflake.