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Data Modeler

Logic Pursuits

5 years

0 Lacs

greater hyderabad area

Posted:23 hours ago| Platform:

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Skills Required

data modeler logical databricks consistency engineering design support management architecture azure scalability standardization leadership integration portfolio reporting sql relational etl collaboration communication engagement governance cataloging

Work Mode

On-site

Job Type

Full Time

Job Description

Job Title:

Job Type:

Location:

About the Role

Data Modeler

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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