951 to 975 of 1,310 Event-Driven Jobs

development, succession planning, and organizational design. Preferred qualifications, capabilities, and skills Experience modernizing firmwide reference data platforms (golden source, distribution, application programming interfaces, event-driven architectures). Familiarity with enterprise data governance (domains, stewardship, metadata, lineage, and data quality tooling). Understanding of AI risk and control patterns ...

ensure aligned architecture across products and squadsProvide direction on AWS cloud architecture and modern deployment approachesShape integration architecture across API-led and event-driven patternsGuide teams on data architecture, models and data flowsFind opportunities for analytics, AI, ML or GenAIPartner with senior stakeholders to translate business needs into ...

scale. What you'll need to succeed Skills and Experience Strong knowledge of enterprise data architecture patterns and integration approaches (batch, streaming, event-driven, medallion, big data). Demonstrable experience in running long-term data migration projects between bespoke systems desirable. Experience with cloud data platforms - Azure (desirable ...

aligned architecture across products and squads Provide direction on AWS cloud architecture and modern deployment approaches Shape integration architecture across API-led and event-driven patterns Guide teams on data architecture, models and data flows Find opportunities for analytics, AI, ML or GenAI Partner with senior stakeholders ...

Dataproc, Azure, AWS, or equivalent solutions. Strong understanding of modern data architectures, including data lakes, lakehouse architectures, streaming platforms, real-time processing, and event-driven ecosystems. Experience establishing data as a strategic product, enabling business growth, customer value, operational performance, and commercial outcomes. Strong track record in defining ...

from you. Technical Strong backend engineering background, close to the code to guide senior engineers through hard problems. Deep understanding of distributed systems, event-driven architectures and microservices, and comfort making high-impact architectural decisions. Track record of owning the reliability, scalability and correctness of critical systems ...

raise it when they're not being followed. Ability to design and build integrations with third-party systems using REST APIs and event-driven patterns, and to understand how data flows across connected systems. Strong communication skills, comfortable talking directly with business stakeholders, translating technical constraints into plain ...

including talent development, succession planning, and organizational design.Preferred qualifications, capabilities, and skillsExperience modernizing firmwide reference data platforms (golden source, distribution, application programming interfaces, event-driven architectures).Familiarity with enterprise data governance (domains, stewardship, metadata, lineage, and data quality tooling).Understanding of AI risk and control patterns (human ...

written and verbal communication for technical and non-technical stakeholders Additional Highly Valued Skills Knowledge of interest rate curve construction techniques Experience with event-driven or stream-processing architectures (KDB+, Kafka etc.) Experience building automated workflows and data pipelines in a quantitative or trading environment Experience working within ...

stateful. Other engagements are just as varied. One customer needs a multi-tenant SaaS platform with complex access patterns. Another is building an event-driven pipeline where DynamoDB Streams feed downstream AI orchestration. In each case, you design partition strategies, define GSI patterns, and articulate why DynamoDB fits ...

lifecycle states.Experience designing and implementing integrations between PLM and adjacent systems (e.g. ERP, MES, EAM, SCM, sourcing or ESG platforms), using APIs, event-driven patterns, middleware or iPaaS technologies.Strong data engineering and data architecture background, including data ingestion, transformation, lineage, quality controls and governance to support analytics, traceability ...

lifecycle states.Experience designing and implementing integrations between PLM and adjacent systems (e.g. ERP, MES, EAM, SCM, sourcing or ESG platforms), using APIs, event-driven patterns, middleware or iPaaS technologies.Strong data engineering and data architecture background, including data ingestion, transformation, lineage, quality controls and governance to support analytics, traceability ...

lifecycle states.Experience designing and implementing integrations between PLM and adjacent systems (e.g. ERP, MES, EAM, SCM, sourcing or ESG platforms), using APIs, event-driven patterns, middleware or iPaaS technologies.Strong data engineering and data architecture background, including data ingestion, transformation, lineage, quality controls and governance to support analytics, traceability ...

lifecycle states.Experience designing and implementing integrations between PLM and adjacent systems (e.g. ERP, MES, EAM, SCM, sourcing or ESG platforms), using APIs, event-driven patterns, middleware or iPaaS technologies.Strong data engineering and data architecture background, including data ingestion, transformation, lineage, quality controls and governance to support analytics, traceability ...

lifecycle states.Experience designing and implementing integrations between PLM and adjacent systems (e.g. ERP, MES, EAM, SCM, sourcing or ESG platforms), using APIs, event-driven patterns, middleware or iPaaS technologies.Strong data engineering and data architecture background, including data ingestion, transformation, lineage, quality controls and governance to support analytics, traceability ...

long-term) including technology evolution, capability increments, and deployment waves across environmentsLeading architecture for data integration and interoperability: connector strategy, data sharing patterns, event-driven integration, APIs, interface contracts, and cross-domain data exchange approaches where relevantTranslating architectural intent into reference architectures, patterns and guardrails enabling repeatable delivery ...

/KYB journeys and verification flows, dynamic Customer Risk Rating frameworks, ongoing due diligence and periodic review processes and trigger-based reviews and event-driven risk reassessments.Stakeholder management Partner with first line and second line operational and compliance teams to ensure controls are effective, explainable, audit-ready.Collaborate with ...

experience owning platform-level or infrastructure product workstreams with high technical complexity.Familiarity with data architecture concepts: data modeling, ETL pipelines, API design, and event-driven systems.Experience with agile development methodologies; strong proficiency with product management tools (Jira, Confluence, Productboard, or similar).Exceptional analytical, communication, and problem-solving skills.Proven ...

owning platform-level or infrastructure product workstreams with high technical complexity. Familiarity with data architecture concepts: data modeling, ETL pipelines, API design, and event-driven systems. Experience with agile development methodologies; strong proficiency with product management tools (Jira, Confluence, Productboard, or similar). Exceptional analytical, communication, and problem ...

speak with authority about non-functional requirements: performance, resilience, security, cost. You are fluent in modern cloud architecture, including serverless and event-driven designs, and you can explain to a sceptical client where those approaches pay off and where they do not. You have a working understanding ...

Applications & Tools Integrate backend services with existing internal and client‐facing applications and third‐party tools. Work with message brokers (RabbitMQ) to design event‐driven and asynchronous integration patterns. Collaborate with stakeholders to ensure seamless data flow across interconnected systems. Design, develop, and maintain background ETL processes … Azure and/or GCP. Demonstrated expertise in designing and implementing ETL pipelines and background processes. Strong understanding of system architecture principles – microservices, event‐driven design, and API gateways. Soft Skills Strong team player with excellent collaboration and interpersonal skills. Effective communicator, able to articulate complex technical concepts ...

Researchers and Traders with the information and capabilities that they need to make sound business decisions. C++ plays a critical role in our event‐driven trading systems, which are designed to reliably handle vast amounts of data at ultra‐low latencies. As a C++ Engineer, you will build ...

isolation, geo‐distributed deployments, and compliance requirements (SOC 2, GDPR, HIPAA). Track record of building ingestion systems for high volumes of load — event‐driven architectures, stream processing (Kafka, Flink, or equivalent), and batch/real‐time hybrid pipelines. Strong product sense: ability to deeply understand customer problems ...

core .NET and C# skills and exceptional knowledge of concurrency and multithreaded programming. Proven experience developing low latency pricing and trading systems including event driven architecture. Strong application performance profiling and optimisation skills. Experience working in a low latency, zero GC environment (eFX or similar a strong plus ...

informal technology team office, we offer a quiet, friendly environment with break-out rooms for planning and discussion.Build and improve highly concurrent, event driven architectures with interesting resiliency and performance requirements using Microsoft .NET and C#Opportunities to solve interesting and complex problemsWork with some amazing technologists and learn ...