Product Architect

**_ Designation_**:Product Architect - Semantic Modelling

**_ _**_Job Location:_**Bangalore

**_Type of employment:_**Permanent**

**Key Responsibilities**:

- Design and develop Semantic data models using any of the Semantic layer platforms such as CubeDev, HoneyDew, AtScale, etc.
- Create and maintain Semantic layers that accurately represent business concepts and support complex querying and reporting.
- Work closely with stakeholders to understand data requirements and translate them into semantic models.
- Collaborate with data architects and engineers to integrate semantic models with existing Gen AI & BI infrastructure.
- Ensure the semantic models align with business needs and support data governance policies.
- Design & define key business metrics within the semantic models to ensure consistent and accurate reporting across the organization.
- Collaborate with business stakeholders to identify and document metric definitions, ensuring clarity and alignment with business goals.
- Develop and implement processes for metric validation and verification to ensure accuracy and reliability.
- Monitor and maintain the performance of metrics within the Semantic models, addressing any issues or discrepancies promptly.
- Develop and implement efficient queries and scripts for data retrieval and analysis.
- Conduct regular reviews and updates of semantic models to ensure they remain current and effective.
- Provide guidance and expertise on Semantic technologies and best practices to the development team.
- Perform data quality assessments and implement improvements to ensure data integrity and consistency.
- Stay up to date with the latest trends and advancements in Semantic technologies and incorporate relevant innovations into the modeling process.
- Secondary responsibilities may include designing and developing graph-based semantic models using RDF, OWL, and other semantic web standards.
- Create and maintain ontologies that accurately represent domain knowledge and business concepts.

**Requirements**:

- Bachelor's or Master’s degree in Computer Science, Information Systems, Data Science, or a related field.
- Minimum of 6+ years of experience in Semantic modeling, data modeling, or related roles.
- Proficiency in any of the Semantic modeling platforms such as CubeDev, HoneyDew, AtScale, etc.
- Strong understanding of data integration and ETL processes.
- Familiarity with data governance and data quality principles.
- Strong analytical and problem-solving skills.
- Excellent communication and interpersonal skills.
- Ability to work independently and as part of a team.
- Experience with graph-based semantic modeling tools such as Protégé, Jena, or similar is a plus.

**Functions skills**:

- Experience in Lifesciences commercial analytics industry is preferred and familiarity with industry-specific data standards.
- Knowledge of Gen AI overview and frameworks would be plus.
- Certification in BI semantic modeling or related technologies.

**Company Description**:
Trinity is a life science consulting firm, founded in 1996. We are a trusted strategic partner that provides evidence-based solutions for life science corporations around the world. With over 25 years of experience, we are committed to solving our clients' most challenging problems through exceptional levels of service, powerful tools, and data driven insights. Globally we have 12 offices and 270+ life sciences customers with 1200+ employees worldwide. We started our India office in 2017 and we have around 350+ employees in India, which we are further keen on growing exponentially.

B.E Graduates are preferrable.