This is a remote position.Job Title: Data Architect/ModelerLocation: 100% RemoteDuration: 12 months (ability to extend) MUST have strong data modeling skills. This is really a true Data Modeler position and less of a Data Architect role. Do not need Microsoft Fabric. The firm has over 55 years of experience in growth investing, building world-class businesses around the globe. We are developing a cutting-edge data analytics platform built on Microsoft Fabric, designed to enable scalable, efficient, and real-time insights. We leverage modern data lakehouse architectures, PySpark, and best-in-class data modeling principles to drive business intelligence and analytics.Role OverviewWe are looking for a highly skilled Data Architect to design and implement an enterprise-wide data architecture that aligns with business and Enterprise Data Program goals. This role will be responsible for defining and managing data models within a Delta Lakehouse architecture, ensuring scalability, performance, and integrity. This position will also have a pivotal role to play in the implementation, and continuous improvement of enterprise data management practices across Warburg Pincus. The ideal candidate will have strong expertise in data modeling (Star Schema, Snowflake, Data Vault), data management principles like metadata management, data quality, data stewardship etc., and excellent analytical and communication skills to work closely with business stakeholders and technical teams.Key Responsibilities Design and develop enterprise data models to support business intelligence, analytics, and operational reporting. Define and implement best practices for data modeling in a lakehouse environment, ensuring models support business needs effectively. Architect data structures for performance, scalability, and governance, leveraging concepts such as Star Schema, Snowflake Schema and Data Vault. Collaborate with business stakeholders to understand reporting, analytical, and operational data needs, ensuring models are aligned with business objectives. Work closely with Data Engineers to translate logical data models into optimized physical data models in Microsoft Fabric and Delta Lake. Develop data governance frameworks, including metadata management, data lineage tracking, and data quality assurance. Define and maintain canonical data models for key business domains, ensuring consistency across the organization. Guide ETL/ELT strategies to ensure data integrity and optimal performance in Fabric's Medallion Architecture. Establish and document data modeling standards, ensuring adoption across engineering teams. Review and optimize existing data models, identifying areas for improvement in performance, maintainability, and business alignment. Advise on the selection and implementation of data modeling tools and data management solutions. Key Qualifications 7+ years of experience in data architecture, data modeling, or database design. Expertise in data modeling methodologies, including Dimensional (Star/Snowflake), relational and Data Vault. Deep understanding of relational and non-relational databases, including SQL, NoSQL, and Delta Lake architecture. Strong familiarity with Microsoft Fabric, Delta Lake, and Medallion Architecture. Experience designing data models for enterprise analytics, reporting, and operational use cases. Strong SQL skills for data modeling, query optimization, and data analysis. Hands-on experience with ETL/ELT processes and integration strategies. Understanding of cloud-based data architectures, preferably in Azure (Azure Data Lake, Synapse, Databricks, etc.). Self-starter, Strong analytical and problem-solving skills, with the ability to understand and translate business needs into data models. Excellent communication and stakeholder management skills, with the ability to interact effectively with business and technical teams. Preferred Qualifications Experience with Data Vault implementation. Familiarity with data management and data governance tools like Alation, Collibra, Atacamma, Atlan etc. Knowledge of KQL for querying data logs in Azure environments. Experience with Graph Data Modeling and NoSQL databases (e.g., Cosmos DB). Exposure to machine learning feature stores and analytical model design. Knowledge of BI tools (Power BI, Tableau) for building EDM dashboards. Why Join Us? Shape the enterprise data architecture for a modern data analytics platform. Work with cutting-edge data technologies in a Microsoft Fabric environment. Engage directly with business leaders to craft data solutions that drive actionable insights. Be part of an innovative, high-impact team delivering best-in-class data models. Competitive compensation, benefits, and opportunities for professional growth. If you are passionate about data architecture, data management, business-driven modeling, and scalable data solutions, we'd love to hear from you!This is a remote position.Job Title: Data Architect/ModelerLocation: 100% RemoteDuration: 12 months (ability to extend) MUST have strong data modeling skills. This is really a true Data Modeler position and less of a Data Architect role. Do not need Microsoft Fabric. The firm has over 55 years of experience in growth investing, building world-class businesses around the globe. We are developing a cutting-edge data analytics platform built on Microsoft Fabric, designed to enable scalable, efficient, and real-time insights. We leverage modern data lakehouse architectures, PySpark, and best-in-class data modeling principles to drive business intelligence and analytics.Role OverviewWe are looking for a highly skilled Data Architect to design and implement an enterprise-wide data architecture that aligns with business and Enterprise Data Program goals. This role will be responsible for defining and managing data models within a Delta Lakehouse architecture, ensuring scalability, performance, and integrity. This position will also have a pivotal role to play in the implementation, and continuous improvement of enterprise data management practices across Warburg Pincus. The ideal candidate will have strong expertise in data modeling (Star Schema, Snowflake, Data Vault), data management principles like metadata management, data quality, data stewardship etc., and excellent analytical and communication skills to work closely with business stakeholders and technical teams.Key Responsibilities Design and develop enterprise data models to support business intelligence, analytics, and operational reporting. Define and implement best practices for data modeling in a lakehouse environment, ensuring models support business needs effectively. Architect data structures for performance, scalability, and governance, leveraging concepts such as Star Schema, Snowflake Schema and Data Vault. Collaborate with business stakeholders to understand reporting, analytical, and operational data needs, ensuring models are aligned with business objectives. Work closely with Data Engineers to translate logical data models into optimized physical data models in Microsoft Fabric and Delta Lake. Develop data governance frameworks, including metadata management, data lineage tracking, and data quality assurance. Define and maintain canonical data models for key business domains, ensuring consistency across the organization. Guide ETL/ELT strategies to ensure data integrity and optimal performance in Fabric's Medallion Architecture. Establish and document data modeling standards, ensuring adoption across engineering teams. Review and optimize existing data models, identifying areas for improvement in performance, maintainability, and business alignment. Advise on the selection and implementation of data modeling tools and data management solutions. Key Qualifications 7+ years of experience in data architecture, data modeling, or database design. Expertise in data modeling methodologies, including Dimensional (Star/Snowflake), relational and Data Vault. Deep understanding of relational and non-relational databases, including SQL, NoSQL, and Delta Lake architecture. Strong familiarity with Microsoft Fabric, Delta Lake, and Medallion Architecture. Experience designing data models for enterprise analytics, reporting, and operational use cases. Strong SQL skills for data modeling, query optimization, and data analysis. Hands-on experience with ETL/ELT processes and integration strategies. Understanding of cloud-based data architectures, preferably in Azure (Azure Data Lake, Synapse, Databricks, etc.). Self-starter, Strong analytical and problem-solving skills, with the ability to understand and translate business needs into data models. Excellent communication and stakeholder management skills, with the ability to interact effectively with business and technical teams. Preferred Qualifications Experience with Data Vault implementation. Familiarity with data management and data governance tools like Alation, Collibra, Atacamma, Atlan etc. Knowledge of KQL for querying data logs in Azure environments. Experience with Graph Data Modeling and NoSQL databases (e.g., Cosmos DB). Exposure to machine learning feature stores and analytical model design. Knowledge of BI tools (Power BI, Tableau) for building EDM dashboards. Why Join Us? Shape the enterprise data architecture for a modern data analytics platform. Work with cutting-edge data technologies in a Microsoft Fabric environment. Engage directly with business leaders to craft data solutions that drive actionable insights. Be part of an innovative, high-impact team delivering best-in-class data models. Competitive compensation, benefits, and opportunities for professional growth. If you are passionate about data architecture, data management, business-driven modeling, and scalable data solutions, we'd love to hear from you!

This is a remote position.

Job Title: Data Architect/Modeler

Job Title:Job Title:Data Architect/Modeler

Location: 100% Remote

Location:Location:100% Remote

Duration: 12 months (ability to extend)

Duration:Duration:12 months (ability to extend)

MUST have strong data modeling skills. This is really a true Data Modeler position and less of a Data Architect role. Do not need Microsoft Fabric.

MUST have strong data modeling skills. This is really a true Data Modeler position and less of a Data Architect role. Do not need Microsoft Fabric.This is really a true Data Modeler position and less of a Data Architect role. Do not need Microsoft Fabric.This is really a true Data Modeler position and less of a Data Architect role. Do not need Microsoft Fabric.

The firm has over 55 years of experience in growth investing, building world-class businesses around the globe. We are developing a cutting-edge data analytics platform built on Microsoft Fabric, designed to enable scalable, efficient, and real-time insights. We leverage modern data lakehouse architectures, PySpark, and best-in-class data modeling principles to drive business intelligence and analytics.

The firm has over 55 years of experience in growth investing, building world-class businesses around the globe. We are developing a cutting-edge data analytics platform built on Microsoft Fabric, designed to enable scalable, efficient, and real-time insights. We leverage modern data lakehouse architectures, PySpark, and best-in-class data modeling principles to drive business intelligence and analytics.Microsoft Fabricdata lakehouse architecturesPySparkdata modeling

Role Overview

Role OverviewRole Overview

We are looking for a highly skilled Data Architect to design and implement an enterprise-wide data architecture that aligns with business and Enterprise Data Program goals. This role will be responsible for defining and managing data models within a Delta Lakehouse architecture, ensuring scalability, performance, and integrity. This position will also have a pivotal role to play in the implementation, and continuous improvement of enterprise data management practices across Warburg Pincus. The ideal candidate will have strong expertise in data modeling (Star Schema, Snowflake, Data Vault), data management principles like metadata management, data quality, data stewardship etc., and excellent analytical and communication skills to work closely with business stakeholders and technical teams.

We are looking for a highly skilled Data Architect to design and implement an enterprise-wide data architecture that aligns with business and Enterprise Data Program goals. This role will be responsible for defining and managing data models within a Delta Lakehouse architecture, ensuring scalability, performance, and integrity. This position will also have a pivotal role to play in the implementation, and continuous improvement of enterprise data management practices across Warburg Pincus. The ideal candidate will have strong expertise in data modeling (Star Schema, Snowflake, Data Vault), data management principles like metadata management, data quality, data stewardship etc., and excellent analytical and communication skills to work closely with business stakeholders and technical teams.highly skilled Data Architectenterprise-wide data architecturedata modelsDelta Lakehouse architecturestrong expertise in data modeling (Star Schema, Snowflake, Data Vault)excellent analytical and communication skills

Key Responsibilities

Key ResponsibilitiesKey Responsibilities

• Design and develop enterprise data models to support business intelligence, analytics, and operational reporting.

Design and develop enterprise data modelsDesign and develop enterprise data modelsto support business intelligence, analytics, and operational reporting.business intelligence, analytics, and operational reporting

• Define and implement best practices for data modeling in a lakehouse environment, ensuring models support business needs effectively.

Define and implement best practicesDefine and implement best practicesfor data modeling in a lakehouse environment, ensuring models support business needs effectively.data modelinglakehouse environment

• Architect data structures for performance, scalability, and governance, leveraging concepts such as Star Schema, Snowflake Schema and Data Vault.

Architect data structuresArchitect data structuresfor performance, scalability, and governance, leveraging concepts such as Star Schema, Snowflake Schema and Data Vault.performance, scalability, and governanceStar Schema, Snowflake Schema and Data Vault

• Collaborate with business stakeholders to understand reporting, analytical, and operational data needs, ensuring models are aligned with business objectives.

Collaborate with business stakeholdersCollaborate with business stakeholdersto understand reporting, analytical, and operational data needs, ensuring models are aligned with business objectives.

• Work closely with Data Engineers to translate logical data models into optimized physical data models in Microsoft Fabric and Delta Lake.

Work closely with Data EngineersWork closely with Data Engineersto translate logical data models into optimized physical data models in Microsoft Fabric and Delta Lake.optimized physical data modelsMicrosoft FabricDelta Lake

• Develop data governance frameworks, including metadata management, data lineage tracking, and data quality assurance.

Develop data governance frameworksDevelop data governance frameworks, including metadata management, data lineage tracking, and data quality assurance.metadata management, data lineage tracking, and data quality assurance

• Define and maintain canonical data models for key business domains, ensuring consistency across the organization.

Define and maintain canonical data modelsDefine and maintain canonical data modelsfor key business domains, ensuring consistency across the organization.

• Guide ETL/ELT strategies to ensure data integrity and optimal performance in Fabric's Medallion Architecture.

Guide ETL/ELT strategiesGuide ETL/ELT strategiesto ensure data integrity and optimal performance in Fabric's Medallion Architecture.data integrity and optimal performanceFabric's Medallion Architecture

• Establish and document data modeling standards, ensuring adoption across engineering teams.

Establish and document data modeling standardsEstablish and document data modeling standards, ensuring adoption across engineering teams.

• Review and optimize existing data models, identifying areas for improvement in performance, maintainability, and business alignment.

Review and optimize existing data modelsReview and optimize existing data models, identifying areas for improvement in performance, maintainability, and business alignment.

• Advise on the selection and implementation of data modeling tools and data management solutions.

Advise on the selection and implementation of data modeling toolsAdvise on the selection and implementation of data modeling toolsand data management solutions.

Key Qualifications

Key QualificationsKey Qualifications

• 7+ years of experience in data architecture, data modeling, or database design.

7+ years of experience7+ years of experiencein data architecture, data modeling, or database design.data architecture, data modeling, or database design

• Expertise in data modeling methodologies, including Dimensional (Star/Snowflake), relational and Data Vault.

Expertise in data modeling methodologiesExpertise in data modeling methodologies, including Dimensional (Star/Snowflake), relational and Data Vault.Dimensional (Star/Snowflake), relational and Data Vault

• Deep understanding of relational and non-relational databases, including SQL, NoSQL, and Delta Lake architecture.

Deep understanding of relational and non-relational databasesDeep understanding of relational and non-relational databases, including SQL, NoSQL, and Delta Lake architecture.SQL, NoSQL, and Delta Lake architecture

• Strong familiarity with Microsoft Fabric, Delta Lake, and Medallion Architecture.

Strong familiarity with Microsoft Fabric, Delta Lake, and Medallion ArchitectureStrong familiarity with Microsoft Fabric, Delta Lake, and Medallion Architecture.

• Experience designing data models for enterprise analytics, reporting, and operational use cases.

Experience designing data modelsExperience designing data modelsfor enterprise analytics, reporting, and operational use cases.enterprise analytics, reporting, and operational use cases

• Strong SQL skills for data modeling, query optimization, and data analysis.

Strong SQL skillsStrong SQL skillsfor data modeling, query optimization, and data analysis.

• Hands-on experience with ETL/ELT processes and integration strategies.

Hands-on experienceHands-on experiencewith ETL/ELT processes and integration strategies.ETL/ELT processes

• Understanding of cloud-based data architectures, preferably in Azure (Azure Data Lake, Synapse, Databricks, etc.).

Understanding of cloud-based data architecturesUnderstanding of cloud-based data architectures, preferably in Azure (Azure Data Lake, Synapse, Databricks, etc.).Azure (Azure Data Lake, Synapse, Databricks, etc.)

• Self-starter, Strong analytical and problem-solving skills, with the ability to understand and translate business needs into data models.

Self-starter, Strong analytical and problem-solving skillsSelf-starter, Strong analytical and problem-solving skills, with the ability to understand and translate business needs into data models.

• Excellent communication and stakeholder management skills, with the ability to interact effectively with business and technical teams.

Excellent communication and stakeholder management skillsExcellent communication and stakeholder management skills, with the ability to interact effectively with business and technical teams.

Preferred Qualifications

Preferred QualificationsPreferred Qualifications

• Experience with Data Vault implementation.

Experience with Data Vault implementation.Data Vault

• Familiarity with data management and data governance tools like Alation, Collibra, Atacamma, Atlan etc.

Familiarity with data management and data governance tools like Alation, Collibra, Atacamma, Atlan etc.data management and data governance tools like Alation, Collibra, Atacamma, Atlan etc.

• Knowledge of KQL for querying data logs in Azure environments.

Knowledge of KQL for querying data logs in Azure environments.KQL for querying data logs in Azure environments

• Experience with Graph Data Modeling and NoSQL databases (e.g., Cosmos DB).

Experience with Graph Data Modeling and NoSQL databases (e.g., Cosmos DB).Graph Data Modeling

• Exposure to machine learning feature stores and analytical model design.

Exposure to machine learning feature stores and analytical model design.machine learning feature stores

• Knowledge of BI tools (Power BI, Tableau) for building EDM dashboards.

Knowledge of BI tools (Power BI, Tableau) for building EDM dashboards.BI tools (Power BI, Tableau)

Why Join Us?

Why Join Us?Why Join Us?

• Shape the enterprise data architecture for a modern data analytics platform.

Shape the enterprise data architectureShape the enterprise data architecturefor a modern data analytics platform.data analytics platform

• Work with cutting-edge data technologies in a Microsoft Fabric environment.

Work with cutting-edge data technologies in a Microsoft Fabric environment.cutting-edge data technologiesMicrosoft Fabric

• Engage directly with business leaders to craft data solutions that drive actionable insights.

Engage directly with business leaders to craft data solutions that drive actionable insights.business leadersactionable insights

• Be part of an innovative, high-impact team delivering best-in-class data models.

Be part of an innovative, high-impact team delivering best-in-class data models.innovative, high-impact teambest-in-class data models

• Competitive compensation, benefits, and opportunities for professional growth.

Competitive compensation, benefits, and opportunities for professional growth.opportunities for professional growth

If you are passionate about data architecture, data management, business-driven modeling, and scalable data solutions, we'd love to hear from you!

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