Application Engineering (Data & AI Platforms) Developer - Assistant Vice President

Role Summary:The Assistant Vice President (AVP) will lead the design, build, and evolution of a modern, high‑performance enterprise application and data platform, leveraging Java, Spring Boot, Databricks, Apache Spark, AWS, and AI technologies.This role requires deep technical leadership combined with strong people management to deliver secure, compliant, scalable, data‑driven and AI‑enabled solutions that meet banking standards and enterprise governance expectations.Key Responsibilities :Architecture, Design & Engineering ExcellenceArchitect and build high‑performance, scalable, low‑latency applications using modern design patterns (microservices, event‑driven, domain‑driven design, streaming, batch).Ensure strict adherence to banking and enterprise technology standards, including:Security, privacy, and complianceResilience, availability, and disaster recoveryAuditability, logging, and traceabilityApply and enforce industry‑standard software design patterns, clean architecture principles, and SOLID design practices across all layers.Continuously evaluate and adopt fast‑performing, modern technologies to improve throughput, scalability, cost efficiency, and developer productivity.Data Engineering, Quality & Performance FocusLead design and implementation of robust data pipelines using Databricks, Apache Spark, and cloud‑native services.Establish strong data quality frameworks, including:Data validation and reconciliationAccuracy, completeness, timeliness, and consistency checksMonitoring of data SLAs and data anomaliesEnsure high‑performance data processing by optimizing Spark jobs, storage strategies, and compute resources.Drive best practices in data governance, metadata management, and lineage.AI & Advanced Analytics EnablementDesign platforms capable of supporting AI/ML use cases, including:Data preparation for machine learningModel training, evaluation, and inference pipelinesIntegration of AI/ML models into applications and business workflowsPromote adoption of latest AI technologies, frameworks, and architectural patterns in alignment with enterprise standards.Collaborate with data science and product teams to translate AI concepts into production‑ready solutions.Technology Modernization & InnovationStay current with latest technology trends across Java ecosystems, cloud platforms, data engineering, and AI/ML.Drive modernization initiatives, replacing legacy patterns with cloud‑native, scalable, and future‑ready architectures.Balance innovation with risk management and regulatory expectations typical of banking environments.People & Delivery LeadershipLead and mentor multi‑disciplinary teams (application engineers, data engineers, platform engineers).Set clear engineering standards for code quality, performance, security, and documentation.Ensure predictable delivery through agile and DevOps practices, CI/CD automation, and strong release governance.Build an environment of continuous improvement and technical excellence.Required Skills & Experience:Core Technical SkillsStrong expertise in Java and Spring Boot for enterprise‑grade backend development.Hands‑on experience with Databricks, Apache Spark, and large‑scale data processing.Deep understanding of AWS cloud services, cloud security, and cloud‑native architectures.Proven application of software design patterns, clean architecture, and bank‑grade engineering standards.Experience designing high‑performance, scalable, and resilient systems.Data & AI CapabilityStrong knowledge of data quality management and data engineering best practices.Experience supporting or enabling AI / Machine Learning solutions in production environments.Ability to evaluate and integrate new technologies and frameworks responsibly.Leadership & Enterprise ExperienceExperience leading teams in regulated or enterprise technology environments (banking preferred).Ability to make architectural and technology decisions aligned with risk, compliance, and performance needs.Strong communication skills with the ability to explain complex technical concepts to senior and non‑technical stakeholders.Key Success IndicatorsDelivery of a secure, compliant, high‑performance application & data platform.Measurable improvements in data quality, processing speed, and system reliability.Successful enablement of AI‑driven use cases on the platform.High‑performing, motivated engineering teams aligned with enterprise standards.Are you the right candidate? Yes!We truly believe in the power that comes from the diverse backgrounds and experiences our employees bring with them. Although each vacancy details what we are looking for, we don’t necessarily need you to fulfil all of them when applying. If you like change and innovation, seek to see the bigger picture, make data driven decisions and are a good team player, you could be a great fit.Why this role is important to us:Our technology function, Global Technology Services (GTS), is vital to State Street and is the key enabler for our business to deliver data and insights to our clients. We’re driving the company’s digital transformation and expanding business capabilities using industry best practices and advanced technologies such as cloud, artificial intelligence and robotics process automation.We offer a collaborative environment where technology skills and innovation are valued in a global organization. We’re looking for top technical talent to join our team and deliver creative technology solutions that help us become an end-to-end, next-generation financial services company.Join us if you want to grow your technical skills, solve real problems and make your mark on our industry.About State StreetAcross the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.We are committed to fostering an environment where every employee feels