Data Engineer - AVP

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.

Embark on a transformative journey as a Data Engineer - AVP. At Barclays, our vision is clear –to redefine the future of banking and help craft innovative solutions. In this role, you will play a pivotal role in shaping the bank’s data-driven future. You will design and scale state of the art data platforms that power critical business insights, regulatory compliance, and advanced analytics across the enterprise. This role provides a rare chance to blend practical engineering knowledge with strategic influence, allowing you to shape impactful projects while leveraging modern cloud and data technologies at scale.

To be successful as a Data Engineer - AVP, you should have:

• Considerable hand-on experience working with large scale data platforms, delivering cloud-based data solutions with measurable business impact

• Solid understanding of distributed computing and data architecture paradigms, with practical experience on AWS data platforms, including Glue, Lambda, S3, Redshift, Athena, and Databricks.

• Experience designing and building batch data ingestion and transformation pipelines for large datasets

• Ample understanding of IAM roles, cloud security, and AWS infrastructure, including secure data access patterns

• Programming ability in Python and PySpark, along with advanced SQL skills, including query tuning and performance optimization

Some other highly valued skills may include:

• Validated capability in data modelling and schema design, supporting analytics, reporting, and downstream consumption

• Experience working with DevOps and CI/CD pipelines using tools such as Jenkins and GitLab, embedding quality and automation into delivery

• Sound knowledge of data governance standards, metadata oversight, and data quality frameworks, like Alation, Glue Data Quality, data mesh concepts

• Comfortable working in Agile delivery environments, using project coordination tools and collaborating across engineering and business teams

• Ability to propose and influence solution level architecture for diverse technology and business use cases

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, digital and technology, as well as job-specific technical skills.

This role is located in our Whippany, NJ office.

Minimum Salary: $120,000
Maximum Salary: $175,000

The minimum and maximum salary/rate information above include only base salary or base hourly rate. It does not include any other type of compensation or benefits that may be available.

Barclays employees are eligible for a suite of competitive and generous employee benefits, including medical, dental and vision coverage, 401(k), life insurance, and other paid leave for qualifying circumstances.

This position is eligible for an incentive award.