Translate business requirements into conceptual, logical and physical data models
Maintain data dictionaries and glossaries defining data elements
Define data architecture standards, principles and strategies
Design a unified trade data model and support its implementation
Monitor data usage patterns to find optimisation opportunities with the DBA
From the employer’s posting
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.
Definition and documentation of data architectures standards, principles and strategies.
Developing proposals for a unified trade data model/representation and supporting its implementation.
Analysis and monitoring of data usage patterns to identify opportunities for data optimisation and improvement, in partnership with the Data Base Administrator.
Open 5 monthsWe first saw this posting 175 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
Status in our records
Live
First seen by us
May 24, 2026175 days ago
Recorded sightings
304
Last seen by us
Nov 14, 2026
May 24, 2026today
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 175
857
Up longer than most. Similar jobs usually come down between day 8 and day 57.
Well past Barclays’s usual: its jobs come down by about day 29.
From 9,519 similar postings that came down, and 322 of Barclays’s. Coming down is not always a hire.
Barclays is hiring
40 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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Yes. We’ve followed one other Data Architect job there since May 2026. It is still up.
PuneStill up after 175 days, first seen May 24
This jobUp 175 days so far, first seen May 24
May 24Today
Demand for Data Leadership roles
New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.
August 17Last week
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
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 a Chief of Data Analytics Data Architect. In this role, you will play a key part in shaping and evolving our data architecture strategy, helping to enhance our trading applications across the organisation enabling consistency, scalability, and better decision making across teams.
To succeed as a Data Architect, you should have experience in the following:
Financial markets experience, with an advanced understanding of trade lifecycles, market structures, and data flows across front-to-back processes.
Developing proposals for a unified trade data model/representation and supporting its implementation.
Expertise in data architecture including data flow design, logical and physical data modelling and translating data requirements into solutions that you will work closely with engineering teams to implement.
Collaborating closely with engineering teams to deliver changes across upstream systems (trade capture) and downstream systems (post-trade processing).
Stakeholder engagement, including understanding how trades are currently captured and processed, and partnering with business and technical teams across the value chain.
Other highly valued skills include:
Previous experience working in front office environments.
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.