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 realtime streaming architectures using Kafka. This role drives alignment across business domains and enables highquality, governed, and interoperable data for analytics and operational use cases.
Responsibilities:
- Develop and enhanceย canonical data models,ย semantic models, and domaindriven data contracts to enable crossenterprise data interoperability.
- Produceย conceptual, logical, and physical data modelsย aligned to business capabilities, modernization goals, and data mesh principles.
- Design and implement data architecture patterns to supportย realtime streaming solutionsย usingย Kafka.
- Partner with product owners, domain architects, and data engineering teams to translate business needs into scalable, wellgoverned data models.
- Ensure consistent application of data governance, metadata management, and lineage standards across data domains.
- Architect and optimize data pipelines and storage solutions usingย AWSย (S3, Redshift, Glue, EMR, Lambda) andย Snowflake.
- Contribute architectural artifacts, modeling standards, and reusable templates for enterprise data modeling.
- Support enterprise initiatives aroundย realtime data integration,ย semantic mesh, andย AI/ML enablementย through strong data architecture foundations.
Requirements
- Significant experience withย canonical data modelingย and enterprisewide conceptual/logical/physical modeling.
- Strong background inย semantic modelingย andย data meshย design principles.
- Handson experience withย Kafka, including event modeling, schema strategy, and realtime pipeline architecture.
- Proficiency inย AWS data servicesย (S3, Redshift, Glue, EMR, Lambda, EC2) andย 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.
- Handson 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.