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 and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits.
We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.
Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
Position Summary:
We’re looking for a highly skilled Lead Database Engineer / Design Lead to join our team and drive the next generation of enterprise data platforms supporting Consumer and Small Business Card, Deposit products.
In this role, you will lead the design, development, and support of mission-critical Operational Data Store (ODS) systems that power high-volume, real-time data access across digital and non-digital banking channels.
You’ll work on platforms that process and deliver millions of transactions daily. This is an opportunity to combine deep technical expertise with hands-on technical leadership, working with a team of engineers, contributing to large-scale data systems development
in a fast-paced, highly visible environment. This job is responsible for developing and delivering complex requirements to accomplish business goals. Key responsibilities of the job include ensuring that software is developed to meet functional, non-functional and compliance requirements, and solutions are well designed with maintainability/ease of integration and testing built-in from the outset. Job expectations include a strong knowledge of development and testing practices common to the industry and design and architectural patterns.
Responsibilities:
- Codes solutions and unit test to deliver a requirement/story per the defined acceptance criteria and compliance requirements
- Designs, develops, and modifies architecture components, application interfaces, and solution enablers while ensuring principal architecture integrity is maintained
- Mentors other software engineers and coach team on Continuous Integration and Continuous Development (CI-CD) practices and automating tool stack
- Executes story refinement, definition of requirements, and estimating work necessary to realize a story through the delivery lifecycle
- Performs spike/proof of concept as necessary to mitigate risk or implement new ideas
- Automates manual release activities
- Designs, develops, and maintains automated test suites (integration, regression, performance)
- Lead architecture, design, and development of large-scale database and data platform solutions
- Own end-to-end delivery across technologies including Oracle, MemSQL(SingleStore), Cockroach DB, DB2, ETL (IBM DataStage), and Autosys
- Build and optimize high-performance data pipelines supporting real-time and batch processing
- Provide technical leadership across development and support
- Ensure solutions meet performance, scalability, security, and regulatory requirements
- Collaborate with product owners and stakeholders to define, refine, and deliver business requirements
- Drive best practices in CI/CD, release management, and production support
- Troubleshoot and resolve complex data and system issues as needed.
- Contribute to testing strategies and continuous improvement initiatives
Required Qualifications :
- 12+ years of hands-on experience in database engineering, large-scale data platforms, or backend systems development
- Bachelor’s degree in Computer Science, Engineering, IT, Computer Application or job related field required.
- Deep expertise in relational database design and performance engineering, including Oracle, MemSQL, or comparable enterprise RDBMS platforms like Cockroach DB, IBM DB2
- Advanced proficiency in SQL and PL/SQL development, including complex query optimization, stored procedures, and data modeling
- Strong experience building and maintaining ETL pipelines using IBM DataStage (or similar tools), including batch processing and orchestration via Autosys or equivalent schedulers
- Solid understanding of data architecture principles, including transactional vs. analytical workloads, data partitioning, indexing strategies, and high-availability design
- Hands-on experience with Linux/Unix environments, including automation using Python and/or shell scripting
- Proven experience in production observability pattern, leveraging tools such as Splunk, Dynatrace, or similar for monitoring, logging, and performance tuning
- Experience implementing and supporting CI/CD pipelines, version control workflows, and automated deployment practices in enterprise environments
- Strong ability to analyze and troubleshoot complex system and data issues across distributed environments
- Demonstrated experience leading technical initiatives, mentoring engineers, and driving delivery across cross-functional teams
Desired Qualifications :
- Experience designing or modernizing high-volume, low-latency enterprise data platforms (e.g., ODS, transactional systems)
- Background working in financial services, payments, or other highly regulated, transaction-intensive environments
- Hands-on experience with streaming and event-driven architectures (e.g., Kafka)
- Familiarity with data replication and CDC technologies such as IBM IIDR or similar tools
- Exposure to distributed SQL or cloud-native databases (e.g., Cockroach DB) and modern data platform evolution
- Experience working in Agile delivery models using tools like Jira, including backlog refinement and sprint execution
- Exposure to AI-assisted development tools (e.g., GitHub Copilot) to improve engineering productivity
Skills:
- Application Development
- Automation
- Influence
- Solution Design
- Technical Strategy Development
- Architecture
- Business Acumen
- DevOps Practices
- Result Orientation
- Solution Delivery Process
- Analytical Thinking
- Collaboration
- Data Management
- Risk Management
- Test Engineering
Shift:
1st shift (United States of America)
Hours Per Week:
40
