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Data Engineering Feature Lead - Technology

Bank of America, Plano

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Pay
Not in the posting
Work setup
On-site
Level
Senior
Experience asked
2+ years
Field
Data
Posted
today
Last checked
today, still open

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.



Position Summary:


The Claims Data Emerging Technology team is in search of a talented Feature Lead to guide a data engineering team that consists of software/quality engineers, and business analysts, who are responsible for developing and management of services.



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)
  • Collaborate with stakeholders to understand the requirement, design scalable, fault tolerant, performant, and secure solution
  • Lead the low-level technical design and ensure overall code quality, conducting code reviews to maintain high development standards
  • Ensure deployment readiness, focusing on production preparation, performance optimization and addressing database tasks for smooth delivery


Required Qualifications:


  • 10+ years of experience in Big Data (Hadoop Echo system, Python)
  • Solid experience with Enterprise Data Management, Data Architecture, Data Governance in ADS like systems
  • 2+ years of experience in Mango DB/Postgres
  • Experience in Apache Kafka messaging frameworks
  • Experience with any of these Source Control Tools: BitBucket/GIT
  • Experience with Test Driven Development (TDD) and Continuous Integration (CI), Junit
  • Experience with Agile/Iterative development and full SDLC development
  • Candidates must have good communication skills and the ability to engage and influence teams across technology and business


Desired Qualifications:

  • Good understanding of leveraging GenAI capabilities for code generation and process simplification/streamlining
  • Exposure to cloud technologies and platforms
  • Experience in Oracle SQL ETL Application Development
  • Knowledge of Java


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

Shift:

1st shift (United States of America)

Hours Per Week:

40

From the posting on Bank of America's job site. Read the original before you apply.