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Bank of America

Runs a US consumer bank, brokerage and investment bank

Feature Lead / Senior ETL Platform Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 10 years of hands-on experience in software development.
  • Strong hands-on experience with Informatica on-premises 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, with 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 continuous integration and continuous delivery (CI/CD) pipelines across multiple organizations and sub-organizations.
  • Knowledge of data replication and availability across S3-compatible cloud object storage, local file systems, and network-attached storage (NAS).
  • 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.
  • Bachelor’s degree or equivalent work experience.

Responsibilities

  • Design, develop, and be accountable for feature delivery.
  • Apply enterprise standards for solution design, coding, and quality.
  • Ensure solutions meet product acceptance criteria with minimal technical debt.
  • Guide the team on work breakdown and execution.
  • Work with the Product Owner to ensure the product backlog and requirements are healthy and have clear acceptance criteria.
  • Serve as an individual-contributor team lead and mentor the team.
  • Guide team members in skills and practices, including planning and estimation, peer reviews, and other engineering practices.
  • Lead the design, delivery, and evolution of cloud-based, AI-enabled data integration and analytics platforms to meet enterprise technology and business goals.
  • Drive architectural decisions across Informatica on-premises and cloud services, public cloud services, and AI-driven data capabilities to ensure scalable, secure, and high-performance data solutions.
  • Partner 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.
  • Provide technical leadership, governance, and mentorship across data, cloud, and AI initiatives.
  • Conduct multiple software implementations and apply depth and breadth of knowledge across several technical competencies.

Desired Qualifications

  • Familiarity with Operational Insights, cloud monitoring, and AI-driven observability.

About the Company

Bank of America

Runs a US consumer bank, brokerage and investment bank

Bank of America runs one of the largest US banks, serving consumers, small businesses, wealthy families, corporations and institutional investors. Alongside checking accounts, credit cards, mortgages and business loans, it owns the Merrill brokerage, a private bank for wealthy clients and a global investment bank that advises on deals and trades stocks and bonds. Customers reach it through thousands of branches and ATMs and its mobile banking app. It earns money mainly from the gap between what it charges on loans and pays on deposits, plus fees from advice, asset management, deal work and trading. It grew from a San Francisco bank founded in 1904 and is headquartered in Charlotte, North Carolina.

Company size
10,001+
Company stage
IPO
Headquarters
Charlotte, NC
Founded
1904

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