Data Engineer - AVP

Barclays; United States; On-site; USD 189,592 - 195,000; Full time

Benefits offered by this job

Medical, dental and vision coverage

401(k)

Life insurance

Paid leave

Job summary

Barclays in Whippany, NJ seeks a Data Engineer – AVP to build and maintain data pipelines and data lakes/warehouses with robust security and governance. You will lead a team delivering high-volume data processing, design for FINRA/SEC regulatory needs, and collaborate with data scientists to deploy ML models.

You will implement scalable APIs, leverage Kubernetes, and ensure observability with comprehensive logging and testing frameworks.

Responsibilities

• Develop and maintain Java-based data pipelines across enterprise systems.
• Build ingestion and transformation processes with Spark, Kafka, and cloud-native tech for high-volume workloads.
• Lead design and development for US regulatory applications (FINRA/SEC) and define rules-driven logic.
• Implement robust logging, monitoring, and data quality checks across pipelines.

Skills

Java

Spark

Kafka

Kubernetes

Cloud-native

OAuth2

JWT

Tools

GitLab

Bitbucket

JUnit

Mockito

Job description

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.

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.

What will you be doing?

Barclays Services Corp. seeks Data Engineer – AVP (multiple positions) in Whippany, NJ:

• Develop and maintain robust Java-based data pipelines ensuring reliable, complete, and consistent data processing across enterprise systems.
• Build enterprise-grade data ingestion and transformation processes leveraging Java, Spark, Kafka, and cloud-native technologies for high-volume workloads.
• Lead the Design and Development team for the US Regulatory applications Barclays commitment for FINRA and SEC. Acted as SME for defining rules driven logic for Regulation like Bluesheets, LOPR, Consolidated Audit Trail System.
• Develop robust errors handling mechanisms, data validation frameworks, and monitoring systems to ensure pipeline reliability and data quality throughout the entire data lifecycle.
• Responsible for leading a Java development team, including providing technical mentorship, conducting code reviews, establishing development standards, and guiding team members through complex technical challenges.
• Optimize pipeline performance through efficient data partitioning, caching strategies, and parallel processing techniques to minimize latency and maximize throughput.
• Implement comprehensive logging, alerting, and observability solutions to proactively identify bottlenecks, failures, and performance degradation in real-time.
• Collaborate with cross-functional teams to establish data governance standards, security protocols, and compliance measures while maintaining backward compatibility and seamless integration with existing systems.
• Design and implement data warehouses and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
• Develop processing and analysis algorithms fit for the intended data complexity and volumes.
• Design and develop scalable APIs leveraging Kubernetes for container orchestration and replica management in cloud environments. Implemented secure application architecture using OAuth2 authentication protocols and JWT token management, supported by comprehensive testing strategies through JUnit and Mockito frameworks, robust logging solutions, and proficient source code management using GitLab and Bitbucket version control systems.

Minimum Salary: $189,592 per year

Maximum Salary: $195,000 per year

The minimum and maximum salary/rate information above includes 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 a 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.