Senior Data Modeller - VP
Nirlon Knowledge Park, Mumbai, India
Barclays
Barclays is a British universal bank. Our businesses include consumer banking, as well as a top-tier, global corporate and investment bank.Purpose of the role
To design, develop, and implement solutions to complex business problems, collaborating with stakeholders to understand their needs and requirements, and design and implement solutions that meet those needs and create solutions that balance technology risks against business delivery, driving consistency.
Accountabilities
- Design and development of solutions as products that can evolve, meeting business requirements that align with modern software engineering practices and automated delivery tooling. This includes identification and implementation of the technologies and platforms.
- Targeted design activities that apply an appropriate workload placement strategy and maximise the benefit of cloud capabilities such as elasticity, serverless, containerisation etc.
- Best practice designs incorporating security principles (such as defence in depth and reduction of blast radius) that meet the Bank’s resiliency expectations.
- Solutions that appropriately balance risks and controls to deliver the agreed business and technology value.
- Adoption of standardised solutions where they fit. If no standard solutions fit, feed into their ongoing evolution where appropriate.
- Fault finding and performance issues support to operational support teams, leveraging available tooling.
- Solution design impact assessment in terms of risk, capacity and cost impact, inc. estimation of project change and ongoing run costs.
- Development of the requisite architecture inputs required to comply with the banks governance processes, including design artefacts required for architecture, privacy, security and records management governance processes.
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 Senior Business Analyst & Data Modeler (BA-DM) where you will play a critical role in bridging the gap between business requirements and technical implementation, ensuring that regulatory data solutions meet the Regulatory Reporting expectations. Also, ensuring that the data analytics solutions deliver unparalleled customer insights, in full compliance with Barclays Data, security, accuracy and efficiency standards.
You may be assessed on the key critical skills relevant for success in role, such as strong experience in business analysis (involving Investment Bank) and data modelling in delivering regulatory data projects. As an ideal candidate you will have a strong background in business analysis, data modelling, and regulatory reporting frameworks within the investment banking domain.
To be successful as a BA-DM for Investment Bank, you should have:
Strong understanding of investment banking products as well as trade life cycle.
Strong understanding of regulatory frameworks applicable to investment banks.
Strong understanding of data governance frameworks applicable to investment banks.
Experience in working on large-scale regulatory data projects in the investment bank in requirements gathering as well as in data analysis and modelling.
8+ years’ experience as a business analyst, detailing functional and non-functional requirements.
3+ years’ experience in developing and optimizing data models with industry standard tools as well in implementing data quality rules.
Deep understanding of relational databases, data warehouse design, and ETL or ELT processes.
Proven experience in SQL, Excel and Python for data analysis and validation.
Define and execute test cases to validate data outputs as well as assist in User Acceptance Testing (UAT).
Desirable skillsets / good to have:
Strong communication and presentation skills, with ability to convey complex concepts to both technical and non-technical audiences.
Excellent problem-solving skills and attention to detail.
Ability to work under pressure and manage multiple priorities in a fast-paced environment.
Knowledge of data visualization tools (e.g., Tableau, Power BI).
Familiarity with cloud-based data platforms (e.g., AWS, Azure, or GCP).
Familiarity with big data technologies like Apache Spark, Starburst, Iceberg, DBT, object store, Databricks and Airflow.
Professional certifications such as CBAP (Certified Business Analysis Professional), TOGAF, or DAMA-CDMP (Certified Data Management Professional) is a plus.
Experience with Agile project management methodologies (e.g., Scrum, Kanban).
This role will be based out of Nirlon Knowledge Park / Altimus office, Mumbai.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow Architecture AWS Azure Banking Big Data Data analysis Data Analytics Databricks Data governance Data management Data quality Data visualization Data warehouse dbt ELT Engineering ETL Excel GCP Kanban Power BI Privacy Python RDBMS Research Scrum Security Spark SQL Tableau Testing TOGAF
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