About Tiger Analytics
Shape the Future of AI. Transform the World's Leading Businesses.
Tiger Analytics is one of the fastest-growing AI services firms, partnering with some of the world's largest and most influential organizations to redefine how business gets done. We help Fortune 500 companies harness the power of Artificial Intelligence, Generative AI, Data Science, Data Engineering and Advanced Analytics to solve their most complex challenges, unlock new growth opportunities, and create lasting business impact.
We are at the forefront of the AI revolution, helping enterprises move beyond traditional analytics to embrace Generative AI, agentic AI, intelligent automation, and cloud-native data platforms. A global presence across North America, Latin America, Europe, and India.
At Tiger Analytics, we don't just help businesses adapt to the future—we help them build it.
What you will be doing
We are looking for a AtScale Semantic Modeling Architect with 10+ years of experience in enterprise data architecture and financial services. The role will focus on designing, developing, and governing enterprise semantic models using AtScale and SML on Snowflake. The ideal candidate will have strong hands-on experience with AtScale Semantic Layer, SML, Snowflake architecture, semantic modeling, enterprise BI, and banking/financial data.
Key Responsibilities:
- Design and develop enterprise semantic models using AtScale and SML, including reusable dimensions, hierarchies, measures, metrics, and business definitions.
- Architect and implement AtScale semantic models on Snowflake, leveraging Snowflake's cloud data platform for scalable enterprise analytics.
- Translate complex business requirements into standardized enterprise metrics, KPIs, dimensions, and semantic definitions, ensuring consistency across business and reporting functions.
- Apply dimensional/Kimball modeling principles to create scalable and reusable semantic models supporting multiple business domains.
- Design and optimize Snowflake data models, SQL workloads, and AtScale aggregates to deliver high-performance analytical queries and BI workloads.
- Develop and maintain SML-based semantic definitions, including measures, dimensions, hierarchies, relationships, calculations, and business logic.
- Implement enterprise data security using Snowflake security capabilities, including Row Access Policies, masking policies, role-based access control (RBAC), and Column-Level Security (CLS).
- Integrate and enable governed semantic models for enterprise BI and analytics platforms including Power BI, Tableau, Excel, and other reporting tools.
- Support AI/ML and GenAI use cases through governed semantic metrics and APIs.
- Establish Git-based development, testing, deployment, and CI/CD processes.
- Maintain strong data lineage, governance, auditability, and regulatory compliance.
Requirements
What we need
- 10+ years of experience in data architecture, enterprise data warehousing, dimensional modeling, or business intelligence.
- Strong experience in the banking and financial services (BFS) domain.
- 2+ years of hands-on experience with AtScale and SML.
- Strong experience designing and implementing AtScale Semantic Layer solutions.
- Strong hands-on experience with SML (Semantic Modeling Language).
- 2+ years of Snowflake architecture and implementation experience.
- Strong knowledge of Snowflake data architecture, Snowflake SQL, data modeling, performance optimization, and security.
- Strong understanding of dimensional/Kimball modeling and enterprise semantic modeling.
- Advanced SQL development and query optimization skills.
- Experience designing enterprise metrics, KPIs, measures, dimensions, and hierarchies.
- Experience with DAX and/or MDX.
- Experience integrating semantic models with Power BI, Tableau, Excel, or similar enterprise BI platforms.
- Strong understanding of banking data models and financial business processes.
- Experience working with financial, management, risk, or regulatory reporting data.
- Knowledge of Snowflake RBAC, Row Access Policies, masking policies, and Column-Level Security.
- Experience with Git, CI/CD, and automated deployment practices.
- Strong understanding of data governance, lineage, metadata, auditability, and regulatory compliance.
Benefits
Why Join Tiger Analytics:
- Drive High-Impact Business Transformation: Lead strategic engagements that go beyond traditional analytics, delivering enterprise-wide AI adoption, cloud-native data modernization, and measurable business outcomes.
- Build and Lead at Global Scale: Collaborate with exceptional AI, data, engineering, and consulting talent across geographies to deliver transformative solutions and grow strategic client partnerships.
- Benefits: Medical, Dental, Vision, Retirement Accounts, Long and Short Term Disability, Life Insurance, HSA/FSA Accounts (USA) and Discretionary time-off.
- Continuous Learning & AI Upskilling: Stay ahead of the rapidly evolving AI landscape through continuous learning, hands-on exposure to emerging technologies, and opportunities to build expertise in Generative AI, agentic AI, and next-generation data platforms. Grow alongside a team that invests in developing future-ready skills and encourages innovation.
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.