Data Architect

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

Requirements

• 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

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.