Feature Lead - Technology

Bank of America Bank of America · Banking · New York, NY +1

This role is for a Feature Lead in a Data Engineering group at Bank of America. The primary focus is on building and maintaining database-centric data pipelines, solutions, and analytics platforms using Oracle, Vertica, and PL/SQL. Responsibilities include data modeling, data integrity, performance optimization, automation, and supporting UAT. The role involves technical leadership, mentoring, and ensuring solutions align with business objectives and compliance standards. While the role mentions using AI tools like Github Copilot, the core responsibilities are centered around traditional data engineering and database management.

What you'd actually do

  1. Designs, develops and is accountable for feature delivery
  2. Applies enterprise standards for solution design, coding and quality
  3. Ensures solution meets product acceptance criteria with minimal technical debt
  4. Guides the team on work breakdown and execution
  5. Works with the Product Owner to ensure that product backlog/requirements are healthy, with clear acceptance criteria

Skills

Required

  • Bachelors Degree in Engineering ,Science ,IT, Computer Science or job related field
  • 3+ years of job related experience
  • Experience with relational and non-relational databases, focusing heavily on Oracle SQL and PL/SQL
  • Strong experience designing and implementing Oracle-driven data integration pipelines using SQL, PL/SQL, and Unix shell scripting
  • Experience automating Oracle processes using job schedulers (Autosys preferred)
  • Professional experience in SQL/PLSQL development, including packages, functions, procedures, triggers, and bulk processing
  • Ability to refine requirements, participate in story sizing, and help drive Agile delivery
  • Ability to perform POCs/spikes to test new Oracle features or solution patterns
  • Develop, test, and deliver Oracle-based solutions that meet acceptance criteria and adhere to compliance standards
  • Strong understanding of how to integrate multiple architectural components (data, application, business)
  • Good understanding of dimensional modeling, star/snowflake schemas, facts

Nice to have

  • Github Copilot and other AI tools

What the JD emphasized

  • job related experience required
  • focusing heavily on Oracle SQL and PL/SQL
  • Strong experience designing and implementing Oracle-driven data integration pipelines using SQL, PL/SQL, and Unix shell scripting
  • Experience automating Oracle processes using job schedulers (Autosys preferred)
  • Professional experience in SQL/PLSQL development, including packages, functions, procedures, triggers, and bulk processing