What are the responsibilities and job description for the Data Architect position at Tiger Analytics Inc.?
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:
- 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.)
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.