Lead Software Engineer: Data Engineering, GCP, GenAI at Wells Fargo

About this role:

Wells Fargo is seeking Lead Software Engineer. We believe in the power of working together because great ideas can come from anyone. Through collaboration, any employee can have an impact and make a difference for the entire company. Explore opportunities with us for a career in a supportive environment where you can learn and grow

In this role, you will:

• Design and execute comprehensive data migration strategies from on‑premises, legacy platforms, or other cloud environments to GCP.
• Migrate structured and semi‑structured data to Big Query, Bigtable, and other GCP storage solutions.
• Build, optimize, and maintain scalable migration pipelines using Python, SQL, and distributed processing frameworks on Dataproc (Apache Spark).
• Implement batch and streaming migration patterns using Cloud Composer (Apache Airflow), Kafka, and Google Pub/Sub.
• Perform schema mapping, data transformation, reconciliation, and validation to ensure accuracy, consistency, and completeness of migrated datasets.
• Leverage GenAI and automation techniques to accelerate data discovery, schema understanding, mapping recommendations, and migration assessments.
• Apply GenAI‑assisted data transformation, code generation, and migration pattern optimization where applicable (e.g., SQL conversion, pipeline scaffolding, test case generation).
• Enable metadata management, lineage, and governance using Dataplex and Data Catalog.
• Handle large‑volume data transfers using industry best practices such as parallel loading, incremental loads, and CDC where applicable.

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
• 3 to 4 years of project lead experience
• Handles GenAI Automation
• Small to Large scale big data implementation, with tool based and spark flow implementation
• GCP Transformation

Desired Qualifications:

• Google Cloud Platform (GCP)
• Big Query, Dataproc / Apache Spark, Bigtable, Dataplex / Data Catalog
• Python (ETL/ELT pipelines and automation)
• SQL (data transformation, validation, and reconciliation)
• Databases: MySQL, Hive, MongoDB
• Cloud Composer / Apache Airflow
• Kafka and Google Pub/Sub
• Apigee / REST APIs (data extraction and integration)
• GenAI (LLMs, embeddings, prompt engineering) and how they integrate with data platforms
• Experience or familiarity with Vertex AI, Big Query ML, or GenAI‑enabled data services on GCP (preferred but not mandatory)

Job Expectations:

• The ideal candidate has a strong foundation in data engineering and cloud migration, with hands‑on experience delivering complex data migration programs on GCP. You are detail‑oriented, proactive in identifying migration risks, and comfortable working cross‑functionally to ensure successful outcomes with high reliability, performance, and data integrity. You bring a modern mindset toward GenAI adoption—leveraging AI‑assisted techniques to improve migration efficiency, data governance, and readiness for advanced analytics and AI use cases.

Posting End Date:

13 May 2026

Job posting may come down early due to volume of applicants.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.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.