Software Engineering Senior Manager - Data Engineering - GEN AI
Wells FargoMatch Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Lead and manage engineering teams developing Treasury Technology, focusing on Liquidity applications, ensuring high-quality, secure, and scalable solutions.
Own the full software development lifecycle, removing technical roadblocks, enforcing architecture and security standards, and collaborating across teams including product managers and third-party vendors.
Drive team skill development through hands-on code reviews, coaching, and building a leadership bench to meet strategic technology and business goals.
Minimum Requirements
7+ years of Software Engineering experience.
3+ years of management or leadership experience.
Experience in software engineering or data engineering, preferably at enterprise scale.
Work Experience Required: 7+ years in software engineering; 3+ years in management. Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experience leading large, multi-layered data engineering teams in highly regulated financial services environments.
Strong capability to influence senior business, risk, and technology leaders and act as a trusted technology advisor in a large matrixed organization.
Proven skills in data engineering technologies (e.g., Spark, Kafka, Databricks), cloud platforms (Azure or GCP), AI-driven modernization, and adherence to security and compliance standards.