Sr. Lead Data Architect

Do you have deep knowledge in data architecture and design? then this is the right fit for you !

As a Senior Lead Data Architect at JPMorgan Chase within the Software Defined Networking team, your primary role will be to spearhead the architecture and design of Data and Meta-data frameworks for our strategic cloud native SDN capabilities.

Your deep knowledge of data architecture and design, coupled with experience across multiple infrastructure domains, will be crucial in developing the core data elements of the SDN platform and understanding the topological relationship across different infrastructure and application data planes.

Your role will be pivotal in developing a data-promoten zero-trust macro and micro-segmentation policy promoten capability, and in creating full stack operational and security signals that correlate inventory metadata and MELT (Metrics, Events, Logs, Traces) data into a cohesive time series insight generating capability.

Over time, your work will contribute to feeding this data into AI models to further enhance the insights we can derive from these complex and disparate data sources, thereby meeting our continuously evolving business, regulatory, and security landscape.

Job Responsibilities:


* Apply deep technical knowledge and problem-solving methodologies to analyze complex data/systems, anticipate issues, and mitigate risks.


* Work with other Engineering and Platform teams to architect and rapidly iterate on designs, patterns, or changes required to resolve issues and modernize the organization and its technology processes.


* Lead a team in developing secure, high-quality prototype and production code, and review and debug code written by others.


* Motivate to solve problems strategically, not deliver short term fixes.


* Execute work according to compliance standards, risk and security, and business objectives.


* Advise and mentor engineers and technologists on Data Architecture and Data Science practices, fostering a culture of continuous learning and development.


* Develop and contribute to a great team culture of diversity, equity, inclusion, and respect.

Required Qualifications, capabilities, and skills :


* Formal training or certification on Logical data Modelling concepts and 5+ years applied experience.


* Significant hands-on experience with Logical Data Modelling using MagicDraw, ERwin, PowerDesigner, ERStudio, or similar UML modelling tool


* Excellent experience of several major technology implementation projects, ideally with a strong data orientation all the way from data sourcing and management to remediation at the end of data lifecycle


* Highly knowledgeable about relevant Data Management & Governance topics including: Data Glossaries, Taxonomy management, Data Cataloguing, Data Lineage, Data Quality or Automated Data Discovery - demonstrable practical experience in as many as possible.


* Deep familiarity with various types of relational ...