Kafka Streaming Architect

Purpose of the role

To design, develop, and implement solutions to complex business problems, collaborating with stakeholders to understand their needs and requirements, and design and implement solutions that meet those needs and create solutions that balance technology risks against business delivery, driving consistency.

Accountabilities

• Design and development of solutions as products that can evolve, meeting business requirements that align with modern software engineering practices and automated delivery tooling. This includes identification and implementation of the technologies and platforms.
• Targeted design activities that apply an appropriate workload placement strategy and maximise the benefit of cloud capabilities such as elasticity, serverless, containerisation etc.
• Best practice designs incorporating security principles (such as defence in depth and reduction of blast radius) that meet the Bank's resiliency expectations.
• Solutions that appropriately balance risks and controls to deliver the agreed business and technology value.
• Adoption of standardised solutions where they fit. If no standard solutions fit, feed into their ongoing evolution where appropriate.
• Fault finding and performance issues support to operational support teams, leveraging available tooling.
• Solution design impact assessment in terms of risk, capacity and cost impact, inc. estimation of project change and ongoing run costs.
• Development of the requisite architecture inputs required to comply with the bank's governance processes, including design artefacts required for architecture, privacy, security and records management governance processes.

Other highly valued skills

• Experience with NoSQL and modern data platforms such as MongoDB or ClickHouse
• Exposure to AI/ML system design and data-driven solution development
• Ample foundation in enterprise software engineering, including Spring Boot and middleware-based architectures
• Familiarity with Agile / Scrum delivery models in fast-paced engineering teams
• Excellent communication and presentation skills, with the ability to influence technical direction

Qualifications

• Demonstrated ability designing and delivering Kafka-based streaming applications in complex enterprise environments
• Established coding experience in Java and Python for building high-performance, scalable solutions
• Deep experience building real-time data pipelines using Kafka Streams, Flink, or similar streaming technologies
• Considerable understanding of high-throughput, low-latency distributed systems and platform resilience
• Demonstrated ability to collaborate with architects, engineers, and business stakeholders to deliver strategic outcomes

Benefits

This role is located in our New York, NY office. Minimum Salary: $170,000 Maximum Salary: $230,000 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.

Pay

Minimum Salary: $170,000 Maximum Salary: $230,000

Schedule

N/A

Skills

• Risk and controls
• Change and transformation
• Business acumen
• Strategic thinking
• Digital and technology
• Job-specific technical skills