Data Modeler

1 day ago

Hyderabad, Telangana, India YO IT Group Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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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