Tiger Analytics Inc.
Semantic Modeling Architect - Atscale
Remote role where the employee must remain based in a particular country.
United States only
Employer listed it 4 months ago · Found 8h ago
Been open since 4 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
Not stated
Location
United States only
Timezone
US East
Contract
Full-time
Experience
Senior
Category
Data
This employer didn't state pay. Jobs like this usually pay around $135k–$210k a year, a typical range taken from 260 senior-level data roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Work from home
This is a remote role, but the employee must be based in United States. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "Dallas, United States, Dallas, Texas, United States, Dallas, Texas, United States, Remote"
- Job description states: "US, UK, India"
What Nomaders makes of it
- Payroll and tax are likely handled in that country only
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
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.
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).
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at Tiger Analytics Inc., mentioning your remote working experience and working hours (US East).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 8h ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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