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 cloudbased AIenabled data integration and analytics platforms to meet enterprise technology and business goals. The Lead drives architectural decisions across Informatica (onprem and cloud) public cloud services and AIdriven data capabilities ensuring scalable secure and highperformance 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 handson experience with Informatica onprem 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/MLenabled data pipelines that support analytics model training and intelligent applications.

• Handson experience implementing and maintaining CI/CD pipelines across multiple Orgs and SubOrgs.

• Knowledge of data replication and availability across cloud object storage (S3compatible) local file systems and NAS.

• Familiarity with Operational Insights cloud monitoring and AIdriven 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

• CloudNative Data Architecture

• AIReady 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

• EndtoEnd 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: Bachelors degree or equivalent work experience.

Shift:

Hours Per Week:

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