Lead Big Data Engineer - VP

Barclays•Hanover Township, NJ

2d•$170,000 - $230,000•Onsite

About The Position

Embark on a transformative journey as a Lead Big Data Engineer - VP. At Barclays, our vision is clear –to redefine the future of banking and help craft innovative solutions. You will join a team leading a strategic transformation projects to modernize Barclays' risk calculation, aggregation, and reporting platforms. This role offers the opportunity to contribute to the development of a unified aggregation capability that supports both Front Office and Risk functions, enabling scalable, consistent, and high-performance risk analytics across the organization. As a Big Data Subject Matter Expert, you will play a hands-on role in designing, building, and enhancing core platform capabilities, ensuring that shared services such as metadata management, workflow orchestration, operational controls, data governance, and platform housekeeping are delivered to the highest standards. You will collaborate closely with engineering, architecture, and business stakeholders to build robust, scalable, and resilient data solutions that support critical risk and regulatory requirements while driving operational excellence across the enterprise.

Requirements

Deep expertise in Java, Scala, Apache Spark, Amazon S3, Hadoop ecosystem technologies, and cloud-based big data platforms, with a proven ability to design, develop, and optimize large-scale data processing solutions
Considerable hands-on programming experience in Java, Python, .NET, and Unix/Linux shell scripting, developing high-performance applications, automation frameworks, and scalable data pipelines in enterprise environments
Experience with design and implement distributed data architectures and ETL/ELT workflows, leveraging Spark, cloud storage, and modern big data technologies to process and analyze high-volume, high-velocity datasets
Proven experience working in highly regulated industries, delivering technology solutions that meet stringent compliance, governance, security, audit, and data privacy requirements
Collaborate effectively with cross-functional teams including engineering, architecture, risk, compliance, and business stakeholders to deliver reliable, scalable, and regulatory-compliant data and application solutions

Nice To Haves

Working knowledge of operating within regulated financial services environments, with experience supporting risk, trading, or regulatory technology functions and navigating complex governance and compliance requirements
Solid understanding of information security principles, controls, and industry best practices, including secure software development, data protection, access management, and regulatory compliance standards
Proven ability to work effectively in cross-functional Agile teams, collaborating with product owners, business analysts, architects, and engineers to deliver high-quality solutions in iterative development environments
Ample domain knowledge of market risk and regulatory frameworks, including hands-on experience with regulations such as FRTB Standardized Approach (SA) and Internal Models Approach (IMA), and an understanding of their implementation within technology platforms
Deep expertise in at least one major asset class such as Foreign Exchange (FX), Interest Rates (IR), Credit, Equities, or Commodities, with a good understanding of associated products, risk measures, pricing, and trading workflows

Responsibilities

Provision of guidance and expertise to engineering teams to ensure alignment with best practices and foster a culture of technical excellence.
Contribution to strategic planning by aligning technical decisions with business goals, anticipating future technology trends, and providing insights to optimize product roadmaps.
Design and implementation of complex, scalable, and maintainable software solutions, considering long-term viability and business objectives.
Mentoring and coaching to junior and mid-level engineers to foster professional growth and knowledge sharing, elevating the overall skillset and capabilities of the organization.
Collaboration with business partners, product managers, designers, and other stakeholders to translate business requirements into technical solutions and ensure a cohesive approach to product development.
Innovation within the organization by identifying and incorporating new technologies, methodologies, and industry practices into the engineering process.
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.
Play a hands-on role in designing, building, and enhancing core platform capabilities, ensuring that shared services such as metadata management, workflow orchestration, operational controls, data governance, and platform housekeeping are delivered to the highest standards.
Collaborate closely with engineering, architecture, and business stakeholders to build robust, scalable, and resilient data solutions that support critical risk and regulatory requirements while driving operational excellence across the enterprise.