Data Modeler
23 hours ago
Experience:
8 to 12 Years
Required Qualifications
- 8 to 12 years of experience as a Data Modeler or in a similar data architecture role.
- Strong domain expertise in Private Equity, Investment Management, or Asset Management (fund structures, portfolio data, investor reporting, valuations).
- Proven experience creating canonical models and developing logical & physical data models.
- Hands-on experience with Azure Databricks and Medallion architecture (Bronze/Silver/Gold layers).
- Proficiency in SQL, relational databases, dimensional modeling, and data integration patterns.
- Strong understanding of ETL/ELT pipelines and collaboration with data engineering teams.
- Excellent communication and stakeholder engagement skills to work across business and technical teams
Must Have
- Experience with financial data standards and regulatory reporting frameworks.
- Private Equity domain knowledge and experience
- Familiarity with data governance, metadata, data cataloging
- Background in cloud-based data architecture and modern data platforms
Additional Information
- This is 5 days work from office role (No Hybrid/ Remote option available)
- Domain expertise in Private Equity, Investment Management, or Asset Management (fund structures, portfolio data, investor reporting, valuations)
Key Responsibilities
- Design and build canonical data models to support private equity and investment management business processes.
- Develop logical and physical data models that align with enterprise architecture and cloud strategy.
- Work within Azure Databricks Medallion architecture (Bronze/Silver/Gold layers) to design data flows and ensure consistency.
- Partner with data engineering teams to implement models and optimize for scalability and performance.
- Collaborate with business stakeholders, product owners, and analysts to gather requirements and translate them into data models.
- Ensure data standardization, lineage, and governance across applications and integrations.
- Document data models, business definitions, and metadata to support ongoing governance.
- Provide thought leadership on best practices for canonical modeling, financial data integration, and cloud data architecture
Skills: asset management,investor reporting,data modeler,architecture,data architecture,data,azure databricks,investment management,private equity,data modeling,data models
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