Vice President - Senior Data Engineer

Overview Purpose of the role: To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Responsibilities Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth. Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Leadership and Expectations Vice President Expectations: 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, define jobs and responsibilities, plan for the department’s future needs and operations, counsel employees on performance and contribute to employee pay decisions/changes. Lead specialists to influence operations, balance short and long term goals, and ensure budgets and schedules meet corporate requirements. If the position has leadership responsibilities, demonstrate 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. For an individual contributor, act as a subject matter expert within own discipline and guide technical direction on multi-year assignments. Advise key stakeholders, identify risks, and contribute to governance and control improvements. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Collaborate with other areas of work to keep up to speed with business activity and strategies. Create solutions based on sophisticated analytical thought, evaluate alternatives, and develop innovative solutions. Build trusting relationships with internal and external stakeholders to accomplish key business objectives using influencing and negotiating skills. All colleagues are expected to demonstrate Barclays Values of Respect, Integrity, Service, Excellence and Stewardship and Barclays Mindset to Empower, Challenge and Drive. Role Specifics Embark on a transformative journey as a Vice President - Senior Data Engineer at Barclays. Contribute to building a greenfield data and intelligence platform for Equities, defining architecture, tooling, and strategic direction of a modern data ecosystem. Partner with global engineering and business teams to deliver scalable analytics, enable real-time insights, and support data-driven decision-making across the trading organization. Qualifications Considerable Python experience for data engineering and service development, leveraging frameworks and libraries such as FastAPI, PySpark, Pydantic, and asyncio. Practical expertise with AWS cloud services, including EC2, ECS/Fargate, EMR, Glue, and S3. Proficiency in data orchestration and workflow management tools like Airflow or Dagster. Familiarity with modern data lake architectures and storage formats, including Iceberg, Parquet, and data catalog solutions. Experience optimizing production systems through caching strategies using technologies such as Redis, GridGain, or Apache Ignite. Some highly valued skills may include: Databricks or Snowflake; Observability and monitoring platforms such as Grafana or Splunk; Streaming and messaging technologies such as Kafka; Experience in Java and JavaScript. Location This role is located in our Whippany, New Jersey and New York, NY offices. Compensation Salary for Whippany, NJ: Minimum Salary: $170,000; Maximum Salary: $230,000. Salary for New York, NY: Minimum Salary: $170,000; Maximum Salary: $230,000. These figures include base salary and do not include other compensation or benefits that may be available. Benefits and Eligibility 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. Additional Context Our Work Experience is the combination of everything that’s unique about us: our culture, core values, company meetings, sustainability commitments, recognition programs, and our people. We are proud of our team and the collaborative environment we strive to maintain. #J-18808-Ljbffr