Job Description

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.

Director Expectations

• To manage a business function, providing significant input to function wide strategic initiatives. Contribute to and influence policy and procedures for the function and plan, manage and consult on multiple complex and critical strategic projects, which may be business wide..
• They manage the direction of a large team or sub-function, leading other people managers and embedding a performance culture aligned to the values of the business. Or for an individual contributor, they lead organisation wide projects and act as deep technical expert and thought leader, identifying new ways of working and collaborating cross functionally. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions..
• Provide expert advice to senior functional management and committees to influence decisions made outside of own function, offering significant input to function wide strategic initiatives.
• Manage, coordinate and enable resourcing, budgeting and policy creation for a significant sub-function.
• Escalates breaches of policies / procedure appropriately.
• Foster and guide compliance, ensure regulations are observed that relevant processes in place to facilitate adherence.
• Focus on the external environment, regulators, or advocacy groups to both monitor and influence on behalf of Barclays, when appropriate.
• Demonstrate extensive knowledge of how the function integrates with the business division / Group to achieve the overall business objectives.
• Maintain broad and comprehensive knowledge of industry theories and practices within own discipline alongside up-to-date relevant sector / functional knowledge, and insight into external market developments / initiatives.
• Use interpretative thinking and advanced analytical skills to solve problems and design solutions in often complex/ sensitive situations.
• Exercise management authority to make significant decisions and certain strategic decisions or recommendations within own area.
• Negotiate with and influence stakeholders at a senior level both internally and externally.
• Act as principal contact point for key clients and counterparts in other functions/ businesses divisions.
• Mandated as a spokesperson for the function and business division.

All Senior 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.

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.

­­­­­­­­­­­­­­­­­­Overall purpose of role

As a Director Data Engineering leader in retail banking, you will server as the engineering leader for the business critical, rapidly growing programmes in the consumer credit risk function. You will manage teams that operate in modern full-stack development practices and tools. We are building the enterprise data products that will help chief risk office to build analytical models to derive the capital requirements and build regulatory reports.

You will work in our Barclays LTS, Pune campus, which provides a state-of-the-art environment for technology teams to thrive in our collaborative, Agile engineering culture. Your role will be responsible for leading the design, development, and maintenance of our data infrastructure. This role requires a strategic leader with a deep understanding of micro services architecture, resiliency patterns, knowledge of full stack applications, data architecture, big data technologies, and very strong team leadership. The ideal candidate will have a proven track record of building scalable platforms, managing large datasets, and driving data strategy in alignment with business goals.

Key Accountabilities

• As the Director of Data Engineering, you will be responsible for leading a large multi-disciplinary function, responsible for developing and implementing the vision, strategy, and roadmap for the data platform to support business objectives.
• Lead and mentor a high-performing team of full stack engineers, application architects, data engineers, data architects, and data scientists.
• Oversee the architecture, design, and development of scalable solutions.
• Design data solutions for BUK Cards space by understanding the data access and usage patterns of the risk business.
• Ensure data integrity, security, scalability, efficiency and availability across the platform.
• Drive the adoption of best engineering and operational practices, including data warehousing, and data governance.
• Stay current with emerging technologies and industry trends to drive innovation.
• Evaluate and integrate new tools and technologies to enhance the platform’s capabilities.
• Foster a culture of continuous improvement and technical excellence.
• Oversee the day-to-day operations of the platform, ensuring high performance and reliability.
• Develop and monitor key performance indicators (KPIs) to track the effectiveness of data driven initiatives.
• Work closely with cross-functional teams, including product, analytics, and business units, to understand data needs and deliver solutions.
• Communicate complex technical concepts to non-technical stakeholders effectively.

Stakeholder Management and Leadership

• Collaborate with senior leadership to align data initiatives with overall company strategy.
• Ensure a detailed and shared understanding of organizational objectives and individual project goals.
• Establishing trust and strengthening interpersonal relationships with stakeholders fosters strong risk management practices
• You must have the ability to influence others and guide your team in a shared strategy.
• Work with Credit Risk stakeholders to own unsecured risk solutions.

Decision-making and Problem Solving

• You should be able to identify critical factors which will affect the outcome of the decision.
• You mush come up with all the possible options, should be evaluate all the options accurately and should be able to prioritise the options based on the business objectives.
• Should be able to identify all the possible Risks on all the options before taking the decision.
• Promote data-driven decision-making across the organization.

Risk and Control Objective [This section is mandatory for all role profiles and must not be deleted]

Take ownership for managing risk and strengthening controls in relation to the work you do

Person Specification

• You must have solid foundation in the computer science fundamentals and data engineering.
• You have demonstrated excellent leadership and management capability for large engineering organization with globally distributed teams
• You are passionate about the art of delivering the highest quality applications to customers.
• You enjoy working in an Agile team focused on continuous improvement and iterative deliveries.
• You have excellent communication skills with both technical and non-technical people.

Essential Skills/Basic Qualifications:

• You have strong expertise in big data technologies (e.g., Hadoop, Spark).
• You have proficiency in data warehousing solutions (e.g., Snowflake, Redshift, Databricks, DBT, Starburst, Athena, AWS-Glue).
• You have experience building Datawarehouse using, Ab Initio or similar tools, SAS, Python, Scala etc. and deploying/managing them in a cloud environment
• You have exposure to automated testing and releasing software in a continuous delivery model using Git
• You have familiarity with machine learning and AI technologies.
• Good understanding of agile and SaFe frameworks.

Desirable skills/Preferred Qualifications:

• Thrives in an environment that is fast-paced, rapidly changing, and customer-oriented.
• Experience working in the Retail Banking within secured and unsecured lending credit risk area.
• Strong ability to multi-task, organize, manage, and implement complex projects whether directly or through supervision
• Operates with minimal supervision and able to make informed, well-reasoned decisions independently
• Led global roles in data strategy and execution for a large bank.