Feature Lead - Senior ETL Platform Engineer

Bank of America•Pennington, AL

2d•Onsite

About The Position

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.

Requirements

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

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)