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 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.
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
- 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
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.
Skills Required
- 10+ years of experience in data, application, or platform migration programs
- Strong experience leading enterprise cloud transformation and modernization initiatives
- Hands-on experience with AWS cloud platform and cloud migration strategies
- Strong understanding of ETL/ELT tools, BI/reporting platforms, relational databases, and cloud data platforms
- Experience with migration assessment, dependency analysis, and migration roadmap planning
- Knowledge of data modernization and lakehouse architectures
- Strong stakeholder management, communication, and cross-functional collaboration skills
- Experience coordinating large-scale migration activities across business and technology teams
- Experience with Agile delivery methodologies and enterprise-scale implementation programs
Tiger Analytics Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Tiger Analytics and has not been reviewed or approved by Tiger Analytics.
-
Fair & Transparent Compensation — Feedback suggests pay is viewed as fair and market-aligned for many roles and geographies. Consistent, on-time pay and competitive packages in key markets reinforce a generally positive baseline.
-
Healthcare Strength — Feedback suggests U.S. medical coverage is strong, with administration via a known benefits platform and plan options seen positively. Health insurance is often regarded as a bright spot within the package.
-
Leave & Time Off Breadth — Feedback suggests generous PTO, paid sick days and holidays, and flexible PTO alongside remote-work options. These elements indicate broad time-off provisions available on paper.
Tiger Analytics Insights
What We Do
Tiger Analytics is a global leader in AI and Analytics, helping Fortune 1000 companies solve their toughest challenges. We offer fullstack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. We are Great Place to Work-Certified™ and have been recognized by analyst firms such as Forrester, Gartner, Everest, ISG, HFS, and others. Ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine. In India, our offices are located in Chennai, Hyderabad and Bangalore.
