Data Engineer III

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 driving efforts to develop and deliver complex data solutions to accomplish technology and business goals. Key responsibilities include leading code design and delivery tasks with the integration, cleaning, transformation and control of data in operational and analytical data systems. Job expectations include liaising with vendors and working with stakeholders and Product and Software Engineering teams to implement data requirements, analyzing performance, and researching and troubleshooting issues within system engineering domains.

Overview:

Lead requirement gathering with application, analytics, and AI teams to enable necessary IICS capabilities, cloud services, and AI/ML data integrations. Own end-to-end cloud first IICS platform setup, including Organizations, secure agents (cloud and hybrid), connections, role based access control (RBAC), and permissions. Define and enforce cloud data platform standards, including security, governance, lineage, observability, and responsible AI data usage. Influence adoption of AI assisted data integration, intelligent automation, and metadata driven pipelines where applicable. Lead the design, development, and migration of cloud scale Informatica assets and data pipelines across multiple environments and Organizations. Design and optimize pipelines that support AI/ML model training, real time analytics, and data driven decisioning. Guide delivery of complex data transformations, data quality rules, metadata management, and workload orchestration in cloud and hybrid environments. Partner with Data Science and Analytics teams to ensure high quality, governed, and AI ready datasets. Architect and maintain cloud native CI/CD pipelines supporting Informatica, infrastructure as code, and data pipeline deployments across Orgs and Sub Orgs. Drive automation and AI assisted monitoring of platform utilization, performance, and cost efficiency; proactively remediate bottlenecks. Establish observability practices leveraging cloud monitoring, Operational Insights, and log analytics to ensure operational resilience. Lead troubleshooting of complex cloud secure agent, network, and IICS runtime issues, performing deep root cause analysis. Job Description – Feature Lead / Senior ETL Platform Engineer 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-premise 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:

• Leads story refinement and delivery of requirements through the delivery lifecycle and assists team members in resolving technical complexities
• Codes complex solutions to integrate, clean, transform, and control data, builds processes supporting data transformation, data structures, metadata, data quality controls, dependency, and workload management, assembles complex data sets, and communicates required information for deployment
• Leads documentation of system requirements, collaborates with development teams to understand data requirements and feasibility, and leverages architectural components to develop client requirements
• Leads testing teams to develop test plans, contributes to existing test suites including integration, regression, and performance, analyzes test reports, identifies test issues and errors, and leads triage of underlying causes
• Leads work efforts with technology partners and stakeholders to close gaps in data management standards adherence, negotiates paths forward by thinking outside the box to identify and communicate solutions to complex problems, and leverages knowledge of information systems, techniques, and processes
• Leads complex information technology projects to ensure on-time delivery and adherence to release processes and risk management and defines and builds data pipelines to enable data-informed decision making
• Mentors Data Engineers to enable continuous development and monitors key performance indicators and internal controls
• Handle the Informatica
• Platform which includes IDMC CLOUD and migration,
• Working EOL and NPT

Required Qualifications:

• 8+ years of experience with Software development and Platform management
• Strong hands-on experience with Informatica on-premise 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.
• Handson experience implementing and maintaining CI /CD pipelines across multiple Orgs and Sub Orgs.
• Knowledge of data replication and availability across cloud object storage (S3compatible), local file systems, and NAS.
• Familiarity with Operational Insights, cloud monitoring, and AI driven observability (preferred).
• 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.
• Data, Cloud & AI Platform Expertise Operational & Delivery Experience

Desired Qualifications:

• 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 Deliver

Skills:

• Analytical Thinking
• Application Development
• Data Management
• DevOps Practices
• Solution Design
• Agile Practices
• Collaboration
• Decision Making
• Risk Management
• Test Engineering
• Architecture
• Business Acumen
• Data Quality Management
• Financial Management
• Solution Delivery Process

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

$104,000.00 - $157,700.00 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.