Enterprise Data Platforms (EDP) Data Modeler

Posted 5 Days Ago
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Northampton, Western Australia, AUS
In-Office
Senior level
Fintech • Financial Services
The Role
Designs and maintains enterprise-scale conceptual, logical, and physical data models. Translates business and technology requirements into data architectures, dictionaries, glossaries, standards, and strategies. Analyzes data usage, supports optimization with database administrators, resolves design issues, and advises stakeholders on governance, risk, regulatory, and strategic decisions. Requires expertise in modeling tools, finance data classes, cloud platforms, data lineage, data quality, and master data management.
Summary Generated by Built In
Job Description

Purpose of the role

To design, implement, and maintain conceptual, Logical and Physical data models that meet business data/process and technology requirements, by using designs and data strategies across a wide selection of platforms. 

Accountabilities

  • Analysis and documentation of business requirements to translate them into data models aligned with organisational goals.
  • Development and maintenance of data dictionaries and glossaries to define data elements and their usage.
  • Analysis and monitoring of data usage patterns to identify opportunities for data optimisation and improvement, in partnership with the Data Base Administrator.
  • Strategic architecture definition and product selection.
  • Production of logical designs in relevant subject area (technical, data, operational), showing for example: processes, objects, data flows, inputs, stored data and outputs. Identifying common components.
  • Implementation of architectures and Identification, ownership and resolution of design related issues.
  • Definition and documentation of data architectures standards, principles and strategies.

Vice President Expectations

  • To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures..
  • If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements..
  • If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others..
  • OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions..
  • Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.
  • Manage and mitigate risks through assessment, in support of the control and governance agenda.
  • Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
  • Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
  • Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
  • Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
  • Adopt and include the outcomes of extensive research in problem solving processes.
  • Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Join us at Barclays as an Enterprise Data Platforms (EDP) Data Modeler and help shape the future of enterprise data across our global organisation.

We're looking for an experienced data professional with a passion for creating scalable, high-quality data models that support critical business, regulatory and analytical capabilities.

To be successful as an Enterprise Data Platforms (EDP) Data Modeler, you should have experience with:

  • Expert conceptual, logical and physical data modelling with experience implementing at enterprise scale.

  • Solid experience with metadata management toolsets, such as ER Studio, Erwin or equivalent.

  • Solid understanding of Finance Data Classes, including awareness of key data concepts across financial asset classes.

Some other highly valued skills may include:

  • Knowledge of financial services data governance and regulatory frameworks, such as BCBS 239.

  • Experience working with cloud-based data platforms and modern data architectures.

  • Familiarity with data lineage, data quality and master data management (MDM) practices.

You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.

This role is based in Northampton.

Skills Required

  • Expertise in conceptual, logical, and physical data modeling at enterprise scale
  • Experience with metadata management tools such as ER Studio, Erwin, or equivalent
  • Understanding of Finance Data Classes and data concepts across financial asset classes
  • Knowledge of financial services data governance and regulatory frameworks, including BCBS 239
  • Experience with cloud-based data platforms and modern data architectures
  • Familiarity with data lineage, data quality, and master data management practices
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The Company
HQ: London
83,500 Employees

What We Do

Barclays is a British universal bank. We are diversified by business, by different types of customers and clients, and by geography. Our businesses include consumer banking and payments operations around the world, as well as a top-tier, full service, global corporate and investment bank, all of which are supported by our service company which provides technology, operations and functional services across the Group. With over 325 years of history and expertise in banking, Barclays operates in over 40 countries and employs approximately 83,500 people. Barclays moves, lends, invests and protects money for customers and clients worldwide.

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