Business Intelligence Architect (India)

Business Intelligence Architect (India)

07 Oct
|
OAK TREE SOFTWARE
|
India

07 Oct

OAK TREE SOFTWARE

India

Position: Architect

Experience: 8–13 Years

Location: Remote / Work From Home

Shift: Normal Day Shift

Engagement: Contract-to-Hire (C2H)

We are looking for a hands-on Semantic Architect / BI Architect with strong experience in AtScale, Semantic Modeling, Tableau, and NLQ to design and maintain enterprise-wide semantic solutions.

Key Responsibilities

- Design, build, and maintain universal semantic models using AtScale.
- Develop semantic layers across enterprise data platforms such as Snowflake, Databricks, and BigQuery.
- Define and standardize business metrics, dimensions, hierarchies, and calculated measures.
- Centralize business logic and ensure consistent metric definitions across the organization.
- Optimize semantic models to support Natural Language Query (NLQ) and AI-driven analytics.
- Structure data definitions and metadata to improve LLM-generated insights and text-to-SQL accuracy.
- Support Tableau reporting and analytics using governed semantic models.




- Collaborate with business and technical stakeholders to understand requirements and deliver scalable semantic solutions.
- Ensure semantic models are reusable, governed, business-friendly, and optimized for performance.

Required Skills

- Strong hands-on experience with AtScale
- Strong Semantic Modeling / Semantic Layer Development
- Experience with NLQ (Natural Language Query)
- Strong Tableau experience
- Experience in Metric / KPI Standardization
- Strong Enterprise Data Modeling / Data Architecture
- Valuable Stakeholder Management and communication skills
- Experience with Snowflake, Databricks, or BigQuery is preferred
- Knowledge of GenAI / LLM / Text-to-SQL is an advantage

Key Skills: AtScale | Semantic Modeling | Semantic Layer | NLQ | Tableau | Metric Standardization | Data Architecture | Snowflake | Databricks | BigQuery

📌 Business Intelligence Architect (India)
🏢 OAK TREE SOFTWARE
📍 India

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