Data Architect

Tiger Analytics; North Carolina; Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

Career development

Entrepreneurial environment

High responsibility

Job summary

Tiger Analytics is seeking an experienced Data Architect to lead enterprise migration programs, data modeling, and real‑time streaming architectures. You will design scalable data platforms using canonical and semantic models, guiding cross‑functional teams to achieve governance and interoperability for analytics and operations.

You will partner with product owners, data engineers, and domain experts to translate business needs into robust data models and pipelines using Kafka, AWS services, and

Qualifications

• Significant experience with canonical data modeling across enterprise models.
• Strong background in semantic modeling and data mesh design principles.
• Hands-on experience with real-time data pipelines and event modeling (Kafka).

Responsibilities

• Develop canonical data models, semantic models, and domain-driven data contracts for cross‑enterprise interoperability.
• Produce conceptual, logical, and physical data models aligned to business goals and data mesh principles.
• Design data architecture patterns to support real‑time streaming using Kafka.
• Partner with product owners, domain architects, and data teams to translate business needs into scalable data 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, modeling standards, and reusable templates for enterprise data modeling.
• Support real-time data integration, semantic mesh, and AI/ML initiatives with solid data foundations.

Skills

Canonical modeling

Semantic modeling

Data mesh

SQL

Python

Communication

Tools

Kafka

AWS

Snowflake

ETL/ELT

Job description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

If you are passionate about leading large-scale cloud and data modernization initiatives that transform enterprise platforms, we would love to hear from you. We are seeking an experienced and dynamic professional to play a key role in assessing, planning, and driving enterprise migration programs across data, applications, and cloud platforms. This role will help clients modernize their technology landscape, optimize legacy systems, and enable scalable, cloud-native architectures aligned with business goals. The Data Architect 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.

Responsibilities

1. Develop and enhancecanonical data models,semantic models, and domain‑driven data contracts to enable cross‑enterprise data interoperability.
2. Produceconceptual, logical, and physical data modelsaligned to business capabilities, modernization goals, and data mesh principles.
3. Design and implement data architecture patterns to supportreal‑time streaming solutionsusingKafka.
4. Partner with product owners, domain architects, and data engineering teams to translate business needs into scalable, well‑governed data models.
5. Ensure consistent application of data governance, metadata management, and lineage standards across data domains.
6. Architect and optimize data pipelines and storage solutions usingAWS(S3, Redshift, Glue, EMR, Lambda) andSnowflake.
7. Contribute architectural artifacts, modeling standards, and reusable templates for enterprise data modeling.
8. Support enterprise initiatives aroundreal‑time data integration,semantic mesh, andAI/ML enablementthrough strong data architecture foundations.

Requirements

• Significant experience withcanonical data modelingand enterprise‑wide conceptual/logical/physical modeling.
• Strong background insemantic modelinganddata meshdesign principles.

• Hands‑on experience withKafka, including event modeling, schema strategy, and real‑time pipeline architecture.
• Proficiency inAWS data services(S3, Redshift, Glue, EMR, Lambda, EC2) andSnowflake.
• 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.