Job Description

Purpose of the role

To implement data quality process and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organisation improve its operation, and optimise resources. 

Accountabilities

• Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification.
• Execution of data cleansing and transformation tasks to prepare data for analysis.
• Designing and building data pipelines to automate data movement and processing.
• Development and application of advanced analytical techniques, including machine learning and AI, to solve complex business problems.
• Documentation of data quality findings and recommendations for improvement.

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 as a Data Modeler/Architect - VP at Barclays, where you’ll drive innovation and creativity by developing forward-thinking, data-driven solutions. Your problem-solving mindset, determination, and collaborative spirit will be key to challenging the status quo and introducing new ideas. In this role, you’ll be at the Centre of our data strategy, transforming raw information into actionable insights that power smarter decisions and operational excellence. You’ll collaborate across teams to optimize data pipelines, data structure, enhance governance, and support regulatory compliance—making a real impact on how Barclays delivers value.

To be successful as a Data Modeler/Architect - VP, you should have experience with:

• Significant experience in data architecture or enterprise data modelling, ideally at a major bank or investment bank.
• A great understanding of banking products, risk frameworks, regulatory data requirements and financial markets data.
• Expertise in data modelling tools and frameworks with previous experience scaling models across global functions.
• Database Systems
  • Relational: Oracle, SQL Server, PostgreSQL, MySQL
  • Columnar: Amazon Redshift, Snowflake
  • NoSQL: MongoDB, Cassandra (for some use cases)
• SQL and Scripting
  • Advanced SQL (DDL, DML, performance tuning)
  • PL/SQL or T-SQL
  • Python or Shell scripting for data validation and automation
• Data Warehousing & ETL
  • Data warehousing concepts (Inmon, Kimball)
  • ETL tools: Informatica etc
• Cloud Platforms (increasingly common)
  • AWS (especially S3, Redshift, Glue)
  • Lake formation / Data Lake implementation
• Markets‑Specific Responsibilities:
  • Lead Markets end‑to‑end data architecture strategy, defining the vision and multi‑year roadmaps that align business goals, regulatory drivers, and enterprise standards.
  • Govern Markets focused enterprise and domain data models, ensuring accuracy, re‑use, interoperability, and regulatory‑ready traceability across priority data domains.
  • Provide architectural leadership for Markets data products and platforms, enabling high‑quality design, semantic consistency, and integration across cloud and on‑prem ecosystems.
  • Drive and evolve data architecture governance, setting modelling, metadata, lineage, and interoperability standards, and ensuring compliance through review boards and enterprise forums.
  • Act as senior adviser to CDOs, CIOs, COOs and technical leaders, guiding complex design decisions and influencing cross‑functional teams with clarity and strategic insight.

Additional relevant skills given below are highly valued:

• Experience with cloud platforms (e.g. AWS, Azure) and big data ecosystems

• Familiarity with data governance frameworks and regulatory standards (e.g. BCBS239, GDPR).

• Ability to collaborate across functions and influence decision-making at senior levels.

• Knowledge of metadata management, data modelling, and documentation best practices.

• A mindset aligned with Barclays’ values: Respect, Integrity, Service, Excellence, and Stewardship.

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 our Pune office.