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Senior Data Architect

Bank of America
United Statesfull_timeVerifiedPosted 20 Jan 2026
💰 $205,000/yr($140,500/yr$205,000/yr)

About the role

Job Description:

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job Description:
This job is responsible for defining an architectural vision and solution that supports the strategic outcomes of the Business' Products and Services. Key responsibilities include defining the target operating environment, designing for client resiliency, assisting with solution design, and defining non-functional requirements. Job expectations include working with stakeholders and service providers aligned to the Business' strategic objectives, evaluating the impact of strategic design decisions, and contributing to the architecture roadmap.

Responsibilities:

  • Works across the business, operations and technology to create the solution intent and architectural vision for complex solutions and prioritize functional and non-functional requirements into a technology backlog to enable the technology roadmap and functionality to support evolving capabilities and services
  • Contributes to the creation of the architecture roadmap of defined domains (Business, Application, Data, and Technology) in support of the product roadmap and the development of best practices including standardized templates
  • Clarifies the architecture, assists with system design to support implementation, and provides solution options to resolve any architectural impediments
  • Facilitates solution driven discussions, leads the design of complex architectures, and finds creative solutions through knowledge of domain, practical experiments, and proof of concepts while ensuring architecture is flexible, modular, and adaptable
  • Educates team members on the technology practices, standardization strategies, and best practices to create innovative solutions
  • Supports the team as needed to select the technology stack required for solutions and helps select preferred technology products
  • Performs design and code reviews to ensure all non-functional requirements are sufficiently met (for example, security, performance, maintainability, scalability, usability, and reliability)

Position Summary:

The Enterprise Risk & Finance Technology (ERFT) Senior Data Architect is responsible for developing and maintaining a technology strategy that supports the data strategies of the Global Risk Management (GRM) and Chief Financial Office (CFO) organizations of the company including ERFT data warehouses, data sourcing into and data provisioning from ERFT data warehouses and associated data-warehouse specific tooling. The role will act as the first point of contact for the Data Strategy & Management Executives (DSME) of the GRM and CFO organizations for data architecture. Partners with Technology Delivery leadership and teams to document an agreed upon approach/taxonomy/strategy. This role is an individual contributor position.

Collaborates and maintains strategies that:

  • Support overall goals and facilitate sharing and reuse where appropriate, aligning to Enterprise Data Management policy and Data Domain strategies owned by GRM and CFO DSMEs
  • Support the use of ‘traditional technologies’ and cater to the needs of emerging advanced analytics, machine learning and AI capabilities where appropriate to the business need
  • Drives the creation of guidelines for and help support consistent implementation for the way these capabilities access, secure, persist and capture data where appropriate 
  • Partners with technology stakeholders and DSMEs to drive the agreement of the strategy and resolves or escalates areas of divergence from the strategy
  • Acts as an advisor to teams executing programs driving significant new or transformational data capabilities
  • Collaborates with Data Management Technology and across ERFT/GT to drive the consistent implementation of data q

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Company

Bank of America

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