Bank Of America Senior Engineer - Integration Lead 

United States, Colorado, Denver 

852597413

This job is responsible for defining and leading the engineering approach for complex features to deliver significant business outcomes.

Responsibilities:

• Ensures that the design and engineering approach for complex features are consistent with the larger portfolio solution.
• Define the technology tool stack for the solution within ranged of internally approved and supported technologies.
• Guides and influences team(s) on design and best practices for high code performance –e.g. pairing, code reviews.
• Provides end-to-end delivery of complex features, including automation, for either a single team or multiple teams, at the program level.
• Collaborate with cross-functional teams to gather requirements and translate them into architectural designs.
• Ensure data quality, integrity, and security across all data platforms.
• Optimize performance of existing data processes and warehouse architecture.
• Mentor and guide junior architects and engineers, promoting best practices in data architecture.
• Creates ideas on designing multi-layered technology and solution development approaches.
• Defines the technology tool stack for the solution within ranged of internally approved and supported technologies.
• Extensive experience with developing and implementing secure and resilient application-level integrations for bidirectional functionality.
• Have experience with data models, ETL processes, and data pipelines to ingest, transform, and load data efficiently.
• Extensive experience in designing & implementing multi-tier (including microservices) application platforms.
• Design, implement, and secure RESTful APIs for enterprise and near real-time data processing.
• Apply API security configurations and best practices, including OAuth2, OpenID Connect, and JWT-based authentication.
• Protect APIs from vulnerabilities such as injection, broken authentication, and data leaks (OWASP API Security Top 10).
• In-Depth knowledge of relational databases (e.g., Oracle, MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB), and working knowledge of large structured & unstructured dataset processing
• Secure databases through encryption (at-rest and in-transit), role-based access control (RBAC), and auditing.
• Optimize and maintain the performance and security of Postgres/MongoDB in a high-availability environment.
• Document data flows and develop procedures for data protection.