At a Glance
- Tasks: Lead the design of innovative architecture solutions for software applications and platforms.
- Company: Join JPMorgan Chase, a leader in corporate investment banking.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Make a significant impact on cutting-edge technology and data management.
- Qualifications: Experience in software engineering and data-centric roles required.
The predicted salary is between 60000 - 75000 £ per year.
Job Description
As a Lead Architect at JPMorgan Chase within the Corporate Investment Bank Information Architecture team, you are an integral part of a team that develops high‑quality architecture solutions for a wide range of software applications and platform products.
You drive significant business impact and help shape the target state architecture through expertise in multiple architecture domains.
You will play a crucial role in delivering, maintaining, and promoting the adoption of standards, components, processes, and tools that support the broader Data Management function.
You will also collaborate with Corporate Investment Bank Technology, Global Technology and other business lines to develop contemporary and innovative engineering methods.
- Job Responsibilities
- Actively engage with development teams to use, develop, and improve Information Architecture standards, tools, and processes as part of the development process.
- Provide feedback and propose improvements to architecture governance practices.
- Collaborate to create, maintain, govern, and use Controlled Vocabularies with Business Partners and the Chief Data Office.
- Create and maintain accurate, complete, and consistent governed Data Models with lineage and metadata to facilitate traceability to other metadata classifications such as Data Concepts.
- Guide evaluation of current technology and lead evaluation of new technologies using existing standards and frameworks.
- Regularly provide technical guidance and direction to support business and its technical teams, contractors, and vendors.
- Drive decisions that influence product design, application functionality, and technical operations and processes.
- Serve as a function‑wide subject matter expert in one or more areas of focus.
- Standardize and innovate Operational and Analytical Data Management in accordance with Reference Architectures and Operating Models.
- Required Qualifications, Capabilities, and Skills
- Hands‑on practical experience delivering system design, application development, testing, and operational stability.
- Software Engineering experience in a data‑centric role with exposure to how data is stored, moved, governed, and/or validated/cleaned using programming such as Java, Java Script, or Python.
- Experience in Data Modelling and Architecture tools such as ERwin, Power Designer, Magic Draw, or wider use of UML tools or IDEs that integrate modeling tools such as Eclipse.
- Advanced knowledge of software architecture, applications, and technical processes with considerable in‑depth knowledge in one or more technical disciplines (e. g., cloud, artificial intelligence, machine learning, mobile, etc.).
- Ability to tackle design and functionality problems independently with little to no oversight.
- Ability to evaluate current and emerging technologies to select or recommend the best solutions for the future state architecture.
- Knowledge of some Data Management technologies such as Relational and Columnar Databases, and/or Data Integration (ETL) or API development.
- Knowledge of some Data Formats such as JSON, XML, and binary formats such as Avro or Google Protocol Buffers.
- Experience collaborating with business and technical teams to understand, translate, review, and playback requirements and collaborate to develop model engineering solutions.
- Exposure to working with data sets through tools like SQL, Java Script, or Python.
- Additional Qualifications
- Knowledge of Programming Design and Implementation.
- Management of Data Quality, Metadata Management, Data Taxonomy and Classification, and Security and Protection.
- Knowledge of Financial Services, specifically Wholesale and Investment Banking.
- Experience in other Data Standards (preferably Financial) such as SWIFT, FIX, or Fp ML.
- Knowledge and experience of Software Engineering Methodologies (e. g., Agile).
- A willingness to bring an outside perspective to the team, ask questions, and learn from the breadth and depth of experience of the current IA team.
- An ability to envisage and compare potential solutions prior to implementation.
- Equal Opportunity Statement
We are an equal opportunity employer and do not discriminate on the basis of any protected attribute.
We also make reasonable accommodations for applicants' and employees' practices and beliefs as well as mental health or physical needs.
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