About this role:
Wells Fargo is seeking a Lead Software Engineer
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 Experience:
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:
5+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualifications:
5+ years of progressive engineering experience with sustained hands--on expertise in architecture, system design, and end--to--end solution development.
5+ years of Data Engineering experience, with strong expertise in driving migration from legacy data platforms to cloud--native, lakehouse--based architectures.
BE/BTech/MCA or at similar level of education.
Job Expectations:
3+ Years of Hands-on experience in transformation of legacy data framework to modern stack in private or public cloud.
Architect and implement modern data platforms using Azure Fabric (OneLake, Data Factory, Synapse, Real--Time Analytics, Power BI integration).
Design and build data pipelines and platforms on GCP using services such as : BigQuery, Dataflow/Apache Beam, Pub/Sub, Dataproc/Spark, Cloud Storage, Cloud Composer/Airflow, Dataplex, Data Catalog
Deep expertise in SQL, Python, and distributed data processing frameworks (Spark, Beam)
Strong hands--on background of developing large scale enterprise applications.
Experience with data modeling, ETL/ELT patterns, and Lakehouse architecture.
Hands on experience in building modernized applications using Microservice architecture.
Cloud-native engineering experience -- serverless, managed Spark, event-driven architectures.
Familiarity with containerization (Docker, K8s) and workflow operators.
Knowledge of data governance platforms (Collibra, Alation, Purview).
Experience implementing lineage, observability, drift detection.
Drive innovation by introducing emerging AI technologies, frameworks, and best practices to improve decision--making, automation, and predictive insights.
Strong background in AI, Machine Learning, GenAI, including retrieval systems, embeddings, chunking strategies, and agentic AI workflows.

Keyskills: software engineer python data pipelines data catalog airflow ai power bi machine learning elt data engineering sql docker automation data modeling spark gcp data governance software engineering bigquery etl architecture azure
Wells Fargo & Company (NYSE: WFC) is a diversified, community- based financial services company with $1. 9 trillion in assets. Founded in 1852 and headquartered in San Francisco, Wells Fargo provides banking, insurance, investments, mortgage, and consumer and commercial finance through more ...