Senior Data Security Engineer

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! Job Description: This role is responsible for leading complex efforts to develop and deliver complex data solutions to accomplish cyber security technology and business goals. Key responsibilities include code design and delivery tasks associated with the integration, cleaning, transformation, and control of data in operational and analytics data systems. They guide stakeholders, Product Owners, and Software Engineers through the design and execution processes. These individuals provide technical thought leadership based on the significant experience they have built through implementing multiple complex data solutions, and their knowledge of the interaction across multiple data flows and systems. The candidate is expected to have knowledge in the cyber security domain. Responsibilities Design and engineer complex data solutions across multiple systems, ensuring consistency, scalability, and alignment with business requirements.Research, prototype, and evaluate new technologies and toolsets to improve data capabilities and efficiency.Build, maintain, and optimize data pipelines, architectures, and transformation processes that support analytics and operational needs.Assemble and manage large, complex datasets while ensuring data quality, metadata management, dependency tracking, and workload optimization.Partner with development teams to define requirements and implement scalable, reliable data solutions.Drive continuous improvement by identifying better approaches to technical challenges and challenging existing processes when appropriate.Support testing activities, analyze results, troubleshoot issues, and resolve root causes to improve solution quality and performance.Document deployment, maintenance, support, and operational procedures to ensure effective knowledge sharing.Ensure adherence to data management standards, release processes, CI/CD practices, internal controls, and performance measures.Lead experimentation and proof-of-concept initiatives, validate analytical solutions, and mentor junior engineers on engineering best practices and release management processes. Required Qualifications Proven experience with technology leadership guiding junior engineers towards project completion and deliveriesExperience with cyber security domain, preferably vulnerability data management8+ years of hands-on data engineer/software development Ability to switch from technology leadership to hands on coding when requiredExperience with big data processing systems like Hadoop, Cloudera, etc.Experience with Cloud Services\Technologies like AWS, Azure, etc.Experience with one or more of the programming languages like PythonStrong SQL and UNIX experienceExperience with data stores like HIVE, HBase & ElasticExperience with code versioning systems like BitbucketExperience with CICD pipelinesGood knowledge on Data engineering principles and SDLC processAbility to detect early and articulate with business partners the challenges and gaps in requirements Desired Qualifications Proven experience to continuously improve technology and the business processes that it supportsMotivated to improve speed of delivery without compromising on qualityData storage, governance and retention experience for high volume data sets Skills: Analytical ThinkingApplication DevelopmentData ManagementRisk ManagementSolution DesignAgile PracticesArchitectureCollaborationDecision MakingDevOps PracticesBusiness AcumenData Quality ManagementFinancial ManagementSolution Delivery ProcessTest Engineering This job will be open and accepting applications for a minimum of seven days from the date it was posted. Shift: 1st shift (United States of America) Hours Per Week: 40