The Senior Data Modeler designs and maintains data models to support analytics, mentors junior modelers, and collaborates across business functions.
Description and Requirements
Position Summary
MetLife established a Global capability center (MGCC) in India to scale and mature Data & Analytics, technology and operations capabilities in a cost-effective manner and make MetLife future ready. The center is integral to Global Technology and Operations with a with a focus to protect & build MetLife IP, promote reusability and drive experimentation and innovation. The Data & Analytics team in India mirrors the Global D&A team with an objective to drive business value through trusted data, scaled capabilities, and actionable insights. The operating models consists of business aligned data officers- US, Japan and LatAm & Corporate functions enabled by enterprise COEs- data engineering, data governance and data science
Role Value Proposition
Data Modeler plays a critical role in data and analytics life cycle and significantly contributes to production grade data and analytics solutions. The role requires one to demonstrate expertise in conceptual, logical and physical data modeling and translate business requirements to data. This role mentors Data modelers. It is an individual contributor role, expected to solve wide ranging business problems.
Job Responsibilities
• Translate business requirments into scalable data model designs.
• Design and maintain logical, physical data models to support business and analytics needs.
• Ensure data model consitency, integrity and adherence to best practices
• Develop and optimze dimensional data models for performance, scalaibility and deployment in on-prem and cloud (Azure Synapse, Databricks) for analytical processing
• Perform data profiling and validation to ensure models accuracy & completeness
• Build and maintain data dicitonaries, metadata respositories and ER diagrams.
• Mentor Data Modelers
• Independently lead design, solutioning & estimations
• Collaborate with multiple partners from Business,Technology, Operations and D&A capabilities (Data Governance, Data Quality, Data Modeling, Data Architecture, Data science, DevOps, BI & insights)
Education, Experience & Other Critical Requirement
Education
Bachelors degree in computer science, information technology or equivalent educational qualification
Experience
(In Years)
8-10+ years of relevant experience
About MetLife
Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World's 25 Best Workplaces™, MetLife, through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we're inspired to transform the next century in financial services. At MetLife, it's #AllTogetherPossible . Join us!
#BI-Hybrid
Position Summary
MetLife established a Global capability center (MGCC) in India to scale and mature Data & Analytics, technology and operations capabilities in a cost-effective manner and make MetLife future ready. The center is integral to Global Technology and Operations with a with a focus to protect & build MetLife IP, promote reusability and drive experimentation and innovation. The Data & Analytics team in India mirrors the Global D&A team with an objective to drive business value through trusted data, scaled capabilities, and actionable insights. The operating models consists of business aligned data officers- US, Japan and LatAm & Corporate functions enabled by enterprise COEs- data engineering, data governance and data science
Role Value Proposition
Data Modeler plays a critical role in data and analytics life cycle and significantly contributes to production grade data and analytics solutions. The role requires one to demonstrate expertise in conceptual, logical and physical data modeling and translate business requirements to data. This role mentors Data modelers. It is an individual contributor role, expected to solve wide ranging business problems.
Job Responsibilities
• Translate business requirments into scalable data model designs.
• Design and maintain logical, physical data models to support business and analytics needs.
• Ensure data model consitency, integrity and adherence to best practices
• Develop and optimze dimensional data models for performance, scalaibility and deployment in on-prem and cloud (Azure Synapse, Databricks) for analytical processing
• Perform data profiling and validation to ensure models accuracy & completeness
• Build and maintain data dicitonaries, metadata respositories and ER diagrams.
• Mentor Data Modelers
• Independently lead design, solutioning & estimations
• Collaborate with multiple partners from Business,Technology, Operations and D&A capabilities (Data Governance, Data Quality, Data Modeling, Data Architecture, Data science, DevOps, BI & insights)
Education, Experience & Other Critical Requirement
Education
Bachelors degree in computer science, information technology or equivalent educational qualification
Experience
(In Years)
8-10+ years of relevant experience
About MetLife
Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World's 25 Best Workplaces™, MetLife, through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we're inspired to transform the next century in financial services. At MetLife, it's #AllTogetherPossible . Join us!
#BI-Hybrid
MetLife Mahārāshtra, IND Office
MetLife Pune, IN Office

EON West LP-II, 2nd & 3rd Floor, Tower D, S.no. 106(P), 107(P), 108(P)/1, Maharashtra, India, 411057
Similar Jobs at MetLife
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
The role involves designing and developing cloud-based applications, scalable microservices, and CI/CD pipelines, while collaborating with teams and stakeholders.
Top Skills:
Advanced JavaAngularjsBambooCi/CdCore JavaDockerEs6GradleGulpJavaScriptJenkinsMavenMicro ServicesMongoDBNode.jsNosql DatabasesReact NativeReactRedisSpring BootSpring CloudSpring FrameworkWebpack
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Manage product development engineering, drive delivery through vendor and in-house teams, utilize Agile and Waterfall methodologies, ensure environment alignment and production fixes.
Top Skills:
AgileAWSDevOpsJavaOracleWaterfall
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
The Senior Data Modeler II translates business requirements into scalable data models, ensures data integrity, and leads data analytics talent development.
Top Skills:
Api DesignAzure SynapseCosmos DbDatabricksErwinJSONNoSQLSQLXML
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.


