Cloud Data Architect – Real-Time Data Mesh & AWS

Talentify; Westwood (MA); On-site; USD 140,000 - 190,000; Full time

Job summary

Tiger Analytics is seeking a Data Architect to lead enterprise data modernization, canonical and semantic modeling, and real-time streaming designs with Kafka. You will collaborate with product owners and engineers to deliver scalable, governed data models and pipelines across cloud platforms such as AWS and Snowflake.

The role emphasizes strong SQL and Python skills, data governance, and ability to drive cross‑domain data interoperability in a fast‑growing, entrepreneurial environment.

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 at least one programming language (Python preferred).
• Excellent communication skills across technical and business teams.
• Hands-on experience with enterprise data catalog and metadata systems.
• 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

Semantic modeling

Kafka

AWS data services

Snowflake

ETL/ELT design

Data governance/metadata/lineage

SQL

Python

Communication

Enterprise data catalog

AWS certification

Tools

Kafka

Snowflake

AWS

Job description

Tiger Analytics is seeking a Data Architect to lead enterprise data modernization, canonical and semantic modeling, and real-time streaming designs with Kafka. You will collaborate with product owners and engineers to deliver scalable, governed data models and pipelines across cloud platforms such as AWS and Snowflake.

The role emphasizes strong SQL and Python skills, data governance, and ability to drive cross‑domain data interoperability in a fast‑growing, entrepreneurial environment.