Feature Lead - Senior ETL Platform 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 job is responsible for providing leadership, technical direction and oversight to a team delivering technology solutions. Key responsibilities of the job are to provide oversight of the design, implementation, and maintenance of complex computer programs, align technical solutions to business objectives, and ensure that coding practices/quality comply with software development standards. Job expectations include conducting multiple software implementations and applying both depth and breadth in knowledge of several technical competencies. This role is responsible for leading the design, delivery, and evolution of cloud‑based, AI‑enabled data integration and analytics platforms to meet enterprise technology and business goals. The Lead drives architectural decisions across Informatica (on‑prem and cloud), public cloud services, and AI‑driven data capabilities, ensuring scalable, secure, and high‑performance data solutions. The role partners with Product, Application, Software Engineering, Cloud Infrastructure, and Data Science teams to implement data and AI requirements, optimize platform performance, and resolve complex system engineering challenges. This position also provides technical leadership, governance, and mentorship across data, cloud, and AI initiatives. Responsibilities: Designs, develops and is accountable for feature delivery Applies enterprise standards for solution design, coding and quality Ensures solution meets product acceptance criteria with minimal technical debt Guides the team on work breakdown and execution Works with the Product Owner to ensure that product backlog/requirements are healthy, with clear acceptance criteria Plays a team lead role (as an individual contributor) and mentors the team Guides team members with skills and practices (planning and estimation, peer reviews, and other engineering practices) Required Qualifications: Data, Cloud & AI Platform Expertise Strong hands‑on experience with Informatica on‑prem and Informatica Intelligent Cloud Services (IICS). Deep understanding of Informatica Cloud architecture, secure agents, and hybrid/cloud deployment models. Experience designing solutions on public cloud platforms (Azure preferred), including integration with Azure Active Directory. Experience delivering AI/ML‑enabled data pipelines that support analytics, model training, and intelligent applications. Hands‑on experience implementing and maintaining CI/CD pipelines across multiple Orgs and Sub‑Orgs. Knowledge of data replication and availability across cloud object storage (S3‑compatible), local file systems, and NAS. Familiarity with Operational Insights, cloud monitoring, and AI‑driven observability (preferred). Operational & Delivery Experience Proven experience with Incident, Problem, Change, and Service Request Management in cloud environments. Demonstrated expertise in performance optimization, cost efficiency, and scaling cloud data workloads. Experience mentoring teams on cloud, data engineering, and AI data best practices. Background working in a shared services or platform engineering model. Core Skills & Competencies Cloud‑Native Data Architecture AI‑Ready Data Engineering Informatica & Data Integration Platforms DevOps, CI/CD & Automation Solution Design & Architecture Agile Delivery & Technical Leadership Data Quality, Lineage & Governance Cloud Security & Risk Management Observability & Performance Engineering Business & Financial Acumen End‑to‑End Solution Delivery Skills: Automation Influence Result Orientation Stakeholder Management Technical Strategy Development Architecture Business Acumen Risk Management Solution Delivery Process Solution Design Agile Practices Analytical Thinking Collaboration Data Management DevOps Practices Minimum Education Requirement: Bachelor's degree or equivalent work experience. Shift: 1st shift (United States of America) Hours Per Week: 40 Pay Transparency details US - NJ - Pennington - 1300 American Blvd - Hopewell Bldg 3 (NJ2130) Pay and benefits information Pay range $106,500.00 - $173,700.00 annualized salary, offers to be determined based on experience, education and skill set. Discretionary incentive eligible This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company. Benefits This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve. Bank of America is committed to help employees through the transition period when they're displaced as a result of a workforce reduction, realignment or similar measure. Please review the resume writing and interviewing tips provided below to help prepare you for your next career opportunity. Getting started Regardless of the position you are interested in, the starting points to building your resume are the same: 1. Determine the job or types of jobs you want to do and research their responsibilities and qualifications. 2. Think about why you can do the job and make a list of your skills that are relative to the job. 3. Identify experiences or accomplishments that show your proficiency in the skills required for the job. 4. Summarize your abilities, accomplishments and skills into a brief, concise document. Considerations when writing a resume • Do be brief. Resumes should be 1-2 pages in length. • Do be upbeat and active in your wording. • Do emphasize what you have done clearly and concretely. • Do be neat and well organized. • Do have others proofread and critique your resume. Spell check. Make it error free. • Do use high quality, white or light colored 8½ x 11 paper. Use a laser printer if possible. • Don't be dishonest, always tell the truth about yourself in the most flattering light. • Don't include salary history or requirements. • Don't include references. • Don't include accomplishments that do not support your professional goals. • Don't include anything that isn't relevant. (For example, don't mention your fondness for swimming unless you want to work on the water.) • Don't use italics, underlining, shadows or other fancy treatments. Seven steps to a successful interview 1. Anticipate –Put yourself in the interviewer's position. What do you believe the interviewer is most interested in? Why do you think you have been invited to interview? 2. Research –What are the primary functions of the line of business? What are the success factors for the job? Is there a job description available? 3. Assess –Think about your skills, abilities, knowledge, interests, traits, values and accomplishments. Match them to what you know about the job. Consider which ones you should highlight. 4. Prepare Answers –Think about what the interviewer may ask, determine what the best answer is and write it down. 5. Prepare Questions – Interviewing is a two-way street. By asking thoughtful questions, you communicate your interest and learn a lot about the job. Choose two or three questions to ask your interviewer. Avoid asking a lot of questions about vacation time or breaks. 6. Practice – It may seem awkward, but it is the best way to come across well in an interview. Practice your own "great responses" with others or in front of a mirror until you appear relaxed and at ease. 7. Follow-up – Send a brief follow-up letter to the interviewer. Keep in mind that the many job searchers will not send a follow-up letter. Sending one can become a competitive advantage. Pay Transparency - https://careers.bankofamerica.com/en-us/pay-transparency Privacy Statement - https://careers.bankofamerica.com/en-us/privacy-notice