Job Description

Join us as a Sr. Data Engineer/Architect at Barclays, where you'll take part in the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unparalleled customer experiences. As a part of the team, you will deliver technology stack, using strong analytical and problem solving skills to understand the business requirements and deliver quality solutions. You'll be working on complex technical problems that will involve detailed analytical skills and analysis. This will be done in conjunction with fellow engineers, business analysts and business stakeholders.


To be successful as a Sr. Data Engineer/Architect, you should have experience with:

Experience and understanding in ETL, APIs, various data formats (JSON, Avro, Parquet) and experience in documenting/maintaining interface inventories. Deep understanding of AWS services (e.g., Glue, S3, Databricks, Snowflake) and Hadoop ecosystem for data processing and storage. Familiarity with Databricks, Delta Lake, and Medallion architecture for advanced analytics and fraud detection use cases. Build logical and physical data models, enforce data quality, and integrate data across multiple systems. Data Design and Requirements Analysis: Able to apply data design patterns and frameworks, working knowledge of schemas and normalization. Experience in preparing architecture vision documents, data flow diagrams, and maintain auditable governance documentation. Understands user requirement gathering to define data flow, model and design. Knowledge of basic activities and deliverables of application design; ability to utilize application design methodologies, tools and techniques to convert business requirements and logical models into a technical application design. Knowledge of Architecture Modelling; ability to develop and modify enterprise architecture through conceptual, logical and physical approaches. Knowledge of data, process and events; ability to use tools and techniques for analyzing and documenting logical relationships among data, processes or events. Knows the tools and techniques used for data governance. Understands the relevance of following, creating and improving policies to ensure data is secure including data privacy (e.g. token generation). Knowledge on the right platform for the data transmission and ensure the cloud / on prem servers are appropriately used. Also, ensure the cost is considered while choosing the cloud vs on-perm platform. Knowledge on the database and latest updates to help provide the right tools and design. Proficient in communicating data standards and demonstrating their value to the wider audience.


Some other highly valued skills include:

Educated to degree or MBA level to be able to meet the intellectual demands of the job, or can demonstrate equivalent experience. Good understanding of distributed systems and databases. Good understanding of DBT (Data Build Tool). Good understanding of AWS database technologies e.g. Databricks, Snowflake. Knowledge of PCI DSS and PA DSS tokenization and encryption. Understands basic features of RDMBS and NoSQL databases.

You may be assessed on 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 Pune.

Purpose of the role

To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.

Accountabilities

Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data. Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models.

Assistant Vice President Expectations

To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes 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 lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders 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.