Vice President – Data Engineering Delivery Lead

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.

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 Engineering Delivery Lead at Barclays where you will spearhead the evolution of our infrastructure and deployment pipelines, driving innovation and operational excellence. You will harness cutting-edge technology to build and manage robust, scalable, and secure infrastructure, ensuring seamless delivery of our digital solutions. 

To be successful as a Data Engineering Lead, you should have experience with:

• Strong hands-on expertise in Oracle Database

• Extensive experience with Hive, Hadoop Ecosystem, and large-scale data processing

• Strong cloud data engineering experience using AWS Athena, S3, Glue, Lambda

• Expertise Oracle comprehending the existing SQL queries and writing medium to complex SQL queries

• Any Cloud (AWS/Azure/Google/Oracle) Certification will be plus.

• Experience with Data Warehousing, ETL/ELT, Data Lakes, and Data Modeling

• Knowledge of Python, Shell Scripting, SQL optimization, and performance tuning

• CI/CD, DevOps, Git, Jenkins, and Agile delivery practices

• Experience supporting enterprise-scale regulatory, finance, risk, or analytics platforms preferred

Leadership Qualifications

• Strong stakeholder management across executive, business, and technology leadership

• Excellent communication, presentation, and influencing skills

• Demonstrated ability to lead large-scale transformation and modernization programs

Some other highly valued skills may include:

• Knowledge on other Database Technologies like Postgres, MongoDB, Snowflake, DBT etc.

• Knowledge on other Orchestration tools like Apache Airflow etc.

• Knowledge of Data Lakes, Lake Houses, Medallion Architecture etc.

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 Chennai office.