Semantic Modeling Architect - Atscale
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 166d ago
The date the source published, not the day we noticed it (2026-05-20). Last seen at its source 3h ago.
We have tracked this listing since 4 Sep 2026 (58 days). The employer's own board has carried it every time we have read it, most recently 3 hours ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $155k–225k/yr
Middle 50% of 5307 listings that do state pay — Engineering · all levels · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Workable employer's own board first seen 58d ago · last seen 3h ago
The listing
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.