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JPMorgan Senior Principal Architect - Data Firmwide Technology Resiliency United Kingdom, England, London 895139968
, you provide specialized expertise to influence the target state architecture and strategy. Work across teams to implement and advance the adoption of complex strategic global solutions that give JPMorgan Chase a competitive advantage.
In this role as an Executive Director - Senior Principal Architect (Data), you will be an integral part of a dynamic team that enables the business to sustain critical operations, through strengthening critical infrastructure and application resiliency. You will leverage your domain expertise to develop a data architecture strategy to deliver solutions that provide data lineage and the capability to generate scenarios to model technology resiliency and recovery risk.
Job responsibilities
- Leads the design and implementation of a data strategy to deliver the vision for a resiliency risk model
- Delivers high quality data architecture artefacts, usable by key stakeholders, that clearly explain the strategic solution and decisions behind them
- Collaborates with data engineers, analysts, and other stakeholders to ensure alignment of the data strategy and construct requirements with a pragmatic delivery plan to achieve target state
- Oversees required data integration and interoperability across various data sources and systems
- Shares data architecture and information management industry best practises, identifying potential opportunities to leverage emerging technologies and how they could impact, augment, or support the strategic vision
- Champions the firm’s culture of diversity, equity, inclusion, and respect
- Formal training or certification on software engineering concepts and expert applied experience
- Experience of the following domains – data modelling, metadata management, data quality management, data governance, data warehouses and lakes, data integration, ETL processes and data visualization
- Knowledge of microservice, event driven, cloud-based and Lambda & Kappa architectures
- Proficiency in technologies including SQL, APIs, distributed event streaming, general-purpose programming languages, open-source analytics and query engines for big data
- Prior experience influencing across engineering functions to deliver modern data architecture solutions
- Proven ability to build strong, cohesive partnerships with key business & technology stakeholders and external vendor partners with the ability to work effectively in a matrix organization
- Strength in both business and technical requirements analysis to drive the delivery of projects from inception to implementation.
- Ability to evaluate current and emerging technologies to recommend the best technology solutions and approaches to achieve the future state architecture
- A Bachelor's or higher degree in Computer Science, or a related field with industry accreditation in one or more of the following – TOGAF, CSP Solution Architecture certification
- Understanding of Data Mining techniques used in data science and data analytics
- Fundamental understanding of data science methods including statistical and analytical techniques
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