Lead Data Architect
Company: JPMorganChase
Location: Columbus
Posted on: April 1, 2026
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Job Description:
Description A career with us is a journey, not a destination.
This could be the next best step in your technical career. Join us.
As a Lead Architect for Data products at Corporate Oversight and
Governance Technology (COGT) with in the Corporate technology LOB,
you are an integral part of a team that works to develop
high-quality architecture solutions for various software
applications on modern cloud-based technologies. As a core
technical contributor, you are responsible for conducting critical
architecture solutions across multiple technical areas within
various business functions in support of project goals. Job
responsibilities Represent the data architecture team at technical
governance bodies, providing feedback and proposing improvements to
governance practices. Guide evaluation of current and emerging
technologies, leading assessments using established data
architecture standards and frameworks. Design, develop, and
maintain logical and physical data models (e.g., using Erwin Data
Modeler), optimizing architectures for automation and integration
with enterprise platforms. Architect and implement scalable,
secure, and reliable data solutions, ensuring alignment with
enterprise standards. Champion and implement data mesh
methodologies to enable decentralized data ownership and self-serve
data infrastructure. Coordinate and facilitate federated data
sharing across business units and application teams, ensuring
secure and efficient data exchange. Lead and coordinate research,
development, and implementation of data products, collaborating
with stakeholders to define requirements and ensure successful
delivery. Drive automation of metadata management processes to
enhance data discoverability, lineage, and governance; implement
tools and frameworks for metadata capture and cataloging. Advise
teams on database selection and data storage design, including
normalization principles and best practices, considering
scalability, performance, and cost. Guide teams on Trusted Data
Quality (TDQ) principles and implementation patterns to ensure
high-quality, reliable data across applications and platforms.
Design and enforce data transfer control procedures for secure and
compliant data movement between OLTP applications and data lakes;
architect and promote common APIs/tools for standardized data
transfer. Provide technical guidance, mentorship, and best
practices to application development, data engineering, and
governance teams, including junior architects and technologists.
Ensure data quality, security, and compliance with regulatory
standards and firmwide policies. Actively contribute to the
engineering community, advocating for data frameworks, tools, and
practices throughout the Software Development Life Cycle (SDLC).
Identify opportunities for continuous improvement in data
automation, platform capabilities, and data product offerings.
Serve as a function-wide subject matter expert in one or more areas
of focus. Required qualifications, capabilities, and skills
Bachelor’s or Master’s degree in Computer Science, Information
Systems, or a related field. Formal training or certification in
Data Architecture concepts. 5 years of applied experience in data
architecture, data engineering, or a related discipline. Hands-on
practical experience delivering system design, application
development, testing, and operational stability. Advanced
proficiency in one or more programming languages, applications, and
architecture. Experience with data modeling tools (e.g., Erwin Data
Modeler). Experience with big data processing frameworks (e.g.,
Spark). Experience with metadata management and automation tools is
highly desirable. Preferred qualifications, capabilities, and
skills Strong Communication, collaboration, analytical and
problem-solving abilities. Ability to independently tackle complex
design and functionality problems with little to no oversight.
Understanding of data mesh concepts and practical experience
implementing data mesh methodologies. Experience coordinating
federated data sharing and data product development in large,
complex enterprise environments. Knowledge of data governance, data
quality (including TDQ principles), and compliance best practices.
Ability to evaluate current and emerging technologies to select or
recommend optimal solutions for future-state architecture.
Leadership in mentoring teams, establishing best practices, and
driving adoption of innovative technologies. Commitment to
fostering a team culture of diversity, opportunity, inclusion, and
respect. Continuous learner, staying abreast of industry trends and
emerging technologies.
Keywords: JPMorganChase, Canton , Lead Data Architect, IT / Software / Systems , Columbus, Ohio
