Data Modeler / Architect Delhi, Hyderabad · Full-time · Hybrid
About the Role The Data Modeler/Architect will shape and deliver the Enterprise data architecture strategy, focusing on Private Markets, particularly Real Assets and Infrastructure. This role requires deep hands-on experience in data modeling across complex financial instruments. The goal is to define and own the Enterprise data architecture for Private Markets investment operations.
Key Responsibilities
- Define and own the Enterprise data architecture for Private Markets investment operations, covering fund structures, portfolio company data, deal pipelines, valuations, capital calls, and distributions.
- Design scalable, domain-oriented data models that reflect the complexity of Real Assets, Private Credit, and Infrastructure Asset classes.
- Produce and maintain architectural artifacts, including Entity Relationship models, conceptual, and logical data models.
Requirements
- Develop and maintain the Enterprise data architecture for Private Markets.
- Design scalable and domain-oriented data models for Real Assets, Private Credit, and Infrastructure Asset classes.
- Produce and maintain architectural artifacts, including Entity Relationship models, conceptual, and logical data models, has been removed and replaced with the original list as per the rules.
- Strong Domain Knowledge around Private Market with key focus around Accounting Book or Record (ABOR) and Performance Book of Record (PBOR)
- Advanced Data Modelling knowledge (conceptual, logical and physical)
- Knowledge of Data Mesh or Domain oriented architecture
- Good understanding of data modelling techniques preferably Dimensional Modelling
- Preferred hands on experience working with dbt & Big Query
- Strong analytical skills highly capable of driving insights and making data-driven decisions.
- Adaptability and willingness to explore new technologies and approaches.
- Strong business acumen and ability to align data initiatives with business objectives.
- Experience working within Agile delivery frameworks.
- Use of JIRA and Confluence for delivery management and documentation.
- Proven track record collaborating effectively in multi disciplinary teams across engineering, product and analytics.
- Strong communication and stakeholder management skills.
- Self starter able to lead components independently while partnering closely with internal teams.
Good to Have
- Preferred working in Agile and scrum teams and iterative delivery
- TOGAF or any other related certification
What We Offer No information available.
