Senior Data Modeler

As a Senior Data Modeler , you bring deep hands-on data modeling expertise to deliver high quality data models in support of key initiatives

This role is focused on technical execution, design quality, and timely delivery of data modeling artifacts across multiple workstreams

You will work closely with data engineering, architecture, analytics, and product teams to design and refine data models that are accurate, scalable, and aligned with established standards

You are comfortable working independently within agile squads, contributing to design discussions, and iterating quickly based on feedback

This role emphasizes hands-on modeling and collaboration, with limited people management responsibility

Workplace Investing Technology is responsible for building and sustaining the core platforms that support retirement and workplace investment businesses

These platforms span record keeping, master data management, analytics, and decision support capabilities that enable accurate, timely, and compliant operations

The Data Modeling role supports these platforms by ensuring data structures and logic are clearly defined, well designed, and technically implementable

This role works closely with engineering and architecture teams to translate requirements into data models that can be efficiently built and operated within enterprise data platforms

We are looking for an experienced data modeler who can work effectively in a delivery-oriented, fast-paced environment, collaborate across multiple teams, and contribute high quality modeling artifacts with minimal oversight

Candidate must have relevant experience of 10+ years of overall IT experience with 5+ years of hands-on data modeling experience supporting large scale data platforms

Key Responsibilities

As a Senior Data Modeler, you will be responsible for:

Partnering with engineering, architecture, analytics, and product teams to translate requirements into clear and well-structured data models

Designing and updating conceptual, logical, and physical data models in alignment with enterprise standards

Supporting multiple squads by delivering modeling artifacts on time and addressing design questions early in the development lifecycle

Participating in design reviews and architecture discussions to ensure accuracy and technical feasibility

Applying established data modeling and engineering practices consistently across

deliverables

Helping reduce risk and rework by ensuring data structures and logic are clearly documented and implementable

Supporting governance and approval processes by responding to review feedback and incorporating revisions as needed

Ensuring data structures and logic are clearly defined, well designed, and technically implementable to support enterprise data platforms

Translating business and technical requirements into data models that can be efficiently built and operated within enterprise data platforms

Contributing high quality modeling artifacts with minimal oversight in a delivery-oriented, fast-paced environment

Collaborating across multiple teams, including data engineering, architecture, analytics, and product, to align data models with platform and business needs

Supporting Workplace Investing Technology platforms that span record keeping, master data management, analytics, and decision support capabilities to enable accurate, timely, and compliant operations

Other Capabilities

The Skills that are Key to this role:

Strong hands-on experience in data modeling across conceptual, logical, and physical layers, including 3NF and dimensional modeling

Experience modeling complex logic, rules, and supporting metadata in a data-driven manner

Strong analytical mindset with the ability to interpret requirements and translate them into implementable data designs

Proven ability to collaborate effectively with engineering and architecture teams

Ability to operate productively in environments with evolving requirements and iterative feedback

Strong troubleshooting and problem-solving skills related to data design and structure

Clear written and verbal communication skills focused on explaining design intent and addressing technical questions

Practical, data-driven approach to design decisions and trade-offs

Working knowledge of SQL and modern data platforms, including cloud-based and NoSQL data stores

Working knowledge of at least one data modeling tool such as PowerDesigner, ERwin, Hackolade, or equivalent

Familiarity with AI-assisted development tools, using them to improve productivity and documentation quality where appropriate

The Skills that are Good To Have for this role:

Ability to manage multiple modeling tasks and priorities in parallel

Experience working across cross-functional technology teams

Strong attention to detail in documentation and design artifacts

Experience working in global delivery models with onshore and offshore teams

Comfort working with limited direction while adhering to established standards and guidelines

Qualifications and Skills

10+ years of overall IT experience

5+ years of hands-on data modeling experience supporting large scale data platforms

Bachelor s degree in computer science, engineering, or a related discipline

Strong foundation in data engineering, data analytics, and technical data modeling

Experience as a Senior Data Engineer and/or Senior BI Developer in data and analytics environments, preferably within DA&A or similar domains

Ability to support Workplace Investments (WI) Data Engineering initiatives within a global delivery model