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 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.

About the role

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.

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 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.
• 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.
• 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.
• 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.
• Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives.
• Build and maintain trusting relationships and partnerships with internal and external stakeholders to accomplish key business objectives.

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.
• Proven experience working in highly regulated industries, delivering technology solutions that meet stringent compliance, governance, security, audit, and data privacy requirements.
• 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.

Benefits

• Medical, dental, and vision coverage.
• 401(k) plan.
• Life insurance.
• Other paid leave for qualifying circumstances.
• Eligibility for an incentive award.

Pay

Minimum Salary: $170,000
Maximum Salary: $230,000
The minimum and maximum salary 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.

This role is located in our Whippany, NJ office.