Data Modeler

4 days ago

Greater Hyderabad Area, India Logic Pursuits Full time ₹ 15,00,000 - ₹ 28,00,000 per year

Job Title:
Data Modeler

Job Type:
Full-time

Location:
Hyderabad & Mumbai

Job Description:

About the Role

We are seeking an experienced
Data Modeler
with strong expertise in the
Private Equity and Investment domain
. The ideal candidate will have a proven track record of designing and implementing
canonical data models
, developing
logical and physical models
, and working within Databricks
Medallion architecture
. This role also involves
data profiling
and building
data validations (source-to-target mappings)
to ensure data quality, accuracy, and consistency across the enterprise. The Data Modeler will collaborate with cross-functional teams including data engineering, business stakeholders, and product owners.

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
    .

Required Qualifications

  • 5+ 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
    .

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