Logic Pursuits
Location: NY/NJ Preferred + Candidates in the Eastern US will also be considered.
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 .
Seniority level
Mid-Senior level
Employment type
Contract
Job function
Design, Finance, and Engineering
Industries
IT Services and IT Consulting
Venture Capital and Private Equity Principals
Financial Services
Referrals increase your chances of interviewing at Logic Pursuits by 2x
Get notified about new Data Modeler jobs in
New York, NY .
#J-18808-Ljbffr
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 .
Seniority level
Mid-Senior level
Employment type
Contract
Job function
Design, Finance, and Engineering
Industries
IT Services and IT Consulting
Venture Capital and Private Equity Principals
Financial Services
Referrals increase your chances of interviewing at Logic Pursuits by 2x
Get notified about new Data Modeler jobs in
New York, NY .
#J-18808-Ljbffr