Data Architect

Tiger Analytics

Data Architect driving enterprise migration programs and modernizing technology landscapes. Leading scalable architecture solutions and optimizing legacy systems for Fortune 100 companies.

Posted 6/24/2026full-timeWestwood • Massachusetts, Rhode Island • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

Amazon RedshiftAWSEC2ETLKafkaPythonSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

- 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.
- Hands‑on experience with enterprise data catalog and metadata systems.
- AWS certification (Solutions Architect, Data Analytics Specialty, etc.)

Benefits

Comp & perks

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.*******Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy,**national origin, ancestry, marital status, protected veteran status, disability**status, or any other basis as protected by federal, state, or local law.***

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Hard Skills & Tools

canonical data modelingconceptual modelinglogical modelingphysical modelingsemantic modelingdata mesh designreal-time pipeline architectureETLELTSQL

Soft Skills

communicationcollaboration

Certifications

AWS Solutions ArchitectAWS Data Analytics Specialty