Lead Software Engineer - Data Engineering/Generative AI

About this role:

Wells Fargo is seeking a Lead Software Engineer (Data Engineering/Generative AI)
The Finance Technology Team within Enterprise Functions Technology (EFT) is seeking a Lead Software Engineer to join our Profit View team at Wells Fargo. As a Lead Software Engineer in the Profit View Data Engineering team, candidate will play a pivotal role in the design, development, and maintenance of our metadata-driven data engineering frameworks. Candidate will work independently to deliver critical project tasks, focusing on building, enhancing, and troubleshooting robust data pipelines, APIs, Gen AI solutions and wrapper capabilities for the Profit View project. This role is essential for ensuring best development practices and strong validations during, Modernization of our current tech stack, Gen AI solution that we are building, Data Center exit migrations and DPC onboarding. Candidate will collaborate with cross-functional teams to drive the implementation of scalable, high-performance data solutions using Python, Java, Gen AI, SQL, Apache Spark, Iceberg, Dremio, Power BI and Autosys. Enterprise Finance & Technology is a collaborative, cross-functional, Agile organization that is looking for independent thinkers willing to drive innovative solutions for business problems through Gen AI, data delivery and data management.

In this role, you will:

• Lead complex technology initiatives including those that are companywide with broad impact
• Act as a key participant in developing standards and companywide best practices for engineering complex and large scale technology solutions for technology engineering disciplines
• Design, code, test, debug, and document for projects and programs
• Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors
• Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives
• Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
• Lead projects, teams, or serve as a peer mentor

Required Qualifications:

• 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

• Demonstrate in-depth understanding of Data Warehousing (DWH) concepts.
• Strong experience in large data transformation projects.
• Experience designing and optimizing solutions for high-volume batch processing
• Good experience on Unix Shell scripting.
• At least 5 years of experience working with any RDBMS
• At least 5 years of experience in building big data pipelines.
• At least 5 years of experience working with Apache Spark, Java, Hive, Hadoop and GCP
• At least 2+ years of experience in using LLMs for automation.
• Strong experience with programming in Python, Java, SQL and good understanding of bash scripting for data processing and automation
• Hands-on experience with Apache Spark for large-scale data processing.
• Experience with Autosys or similar job scheduling/orchestration tools.
• Experience in working with CI/CD pipelines, improving code coverage and vulnerability remediation

Job Expectations:

• 5+ years of experience in Agile mode of working
• Decent understanding on workings of Rest APIs, Dremio and Object store
• Proven ability to independently deliver complex project tasks and solutions.
• Solid understanding of data engineering best practices, including validation and quality assurance.
• Excellent troubleshooting and problem-solving skills.
• Proficiency in data modeling and database design
• Experience in working with Open table formats like (Iceberg, Delta)
• Knowledge of data governance, security, and compliance requirements.
• Hands on Experience with GenAI use cases.
• Experience with cloud data platforms (e.g., AWS, Azure, GCP).
• Exposure to financial services or Commercial and corporate investment banking domains

Posting End Date:

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.

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