Feature Lead / Senior ETL Platform Engineer

Bank of America•Pennington, AL

5d•Onsite

About The Position

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 is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Position Summary: 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. Cloud, AI & Platform Architecture Leadership 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. Engineering, Delivery & AI Enablement 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. DevOps, Automation & Cloud Reliability 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. Operations, Security & Vendor Management Lead troubleshooting of complex cloud secure agent, network, and IICS runtime issues, performing deep root‑cause analysis. Act as senior escalation point with Informatica and cloud vendors, driving resolution for critical platform incidents. Ensure alignment with cloud security, identity (Azure AD), compliance, and data privacy standards, including AI data governance considerations. Testing, Quality & Risk Management Lead testing strategy across cloud, data, and AI workloads, including performance, scalability, and reliability testing. Review test outcomes, identify systemic risks, lead defect triage, and implement corrective actions. Ensure adherence to cloud release management, change control, and enterprise risk management processes. Leadership, Mentorship & Enablement Lead story refinement and delivery throughout the Agile lifecycle, removing technical blockers across data, cloud, and AI initiatives. Mentor Data Engineers and Platform Engineers on cloud architecture, Informatica best practices, AI‑ready data design, performance tuning, and automation. Monitor KPIs and operational controls to drive continuous improvement, reliability, and cost optimization. Stakeholder Collaboration & Strategic Influence Partner with stakeholders to close gaps in cloud data and AI standards adherence. Influence enterprise architecture by proposing scalable, secure, and AI‑enabled data solutions. Lead complex technology initiatives to ensure on‑time delivery and alignment with cloud and AI strategy. Required Qualifications Data, Cloud & AI Platform Expertise Strong (10+ yrs) 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 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. 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) Managerial Responsibilities: This position may also have responsibilities for managing associates. At Bank of America, all managers at this level demonstrate the following responsibilities, in addition to those specific to the role, listed above. Opportunity & Inclusion Champion: Creates an inclusive team where members are treated fairly and respectfully. Manager of Process & Data: Demonstrates and expects process knowledge, data driven decisions, simplicity and continuous improvement. Enterprise Advocate & Communicator: Delivers clear and concise messages that motivate, convey the “why” and connects contributions to business results. Risk Manager: Leads and encourages the identification, escalation and resolution of potential risks. People Manager & Coach: Knows and develops team members through coaching and feedback. Financial Steward: Manages expenses and demonstrates an owner’s mindset. Enterprise Talent Leader: Recruits, on-boards and develops talent, and supports talent mobility for career growth. Driver of Business Outcomes: Delivers results through effective team management, structure, and routines.

Requirements

Strong (10+ yrs) 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)
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
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
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

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)

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