Lead Data Engineer

About this role:

Wells Fargo is seeking a Lead Data Engineer Engineer in Technology as part of Cybersecurity. Learn more about the career areas and lines of business .

Wells Fargo is seeking a Lead Data Engineer to join the Enterprise Services Technology (EST) Cyber Security organization. This role will help drive the evolution of enterprise data platforms supporting cybersecurity technology risk governance analytics reporting AI-enabled services and enterprise workflow capabilities.

The ideal candidate will possess strong expertise in enterprise data engineering large-scale ETL/ELT development cloud-native technologies event-driven architectures and modern data integration patterns. This individual will serve as a technical leader responsible for designing scalable secure and resilient data solutions that support critical cybersecurity and enterprise technology functions across Wells Fargo.

In this role you will:

• Lead the design and implementation of enterprise-scale data platforms and solutions.
• Design and develop scalable data ingestion transformation enrichment and distribution frameworks.
• Build and optimize high-performance ETL/ELT pipelines supporting operational analytical and regulatory workloads.
• Design and maintain enterprise data models data architecture standards and integration frameworks.
• Develop and support event-driven data processing solutions using streaming and messaging technologies.
• Create and optimize SQL-based solutions for analytics reporting troubleshooting and operational processing.
• Partner with cybersecurity technology risk architecture engineering and business teams to deliver strategic data capabilities.
• Support advanced analytics AI-enabled services and enterprise reporting solutions through well-architected data services.
• Lead technical design activities architecture reviews and engineering best practices.
• Research and resolve complex production issues while ensuring platform stability scalability and performance.
• Mentor and provide technical guidance to data engineers throughout the development lifecycle.
• Drive continuous improvement in data engineering standards automation and operational excellence.
• Demonstrate proficiency in using AIassisted development and analysis tools (e.g. GitHub Copilot and approved codecentric agents)
• Leverage AI to accelerate system design coding testing analysis and troubleshooting
• Apply strong technical judgment when validating and integrating AIassisted outputs into solutions
• Understand and account for model limitations security risks and operational considerations
• Apply AI responsibly in development and production environments
• Ensure AI usage aligns with security compliance privacy and ethical standards

Required Qualifications:

• 5 years of Database Engineering experience or equivalent demonstrated through one or a combination of the following: work experience training military experience education
• Strong expertise in data modeling data architecture and enterprise data integration patterns.
• Strong experience developing and optimizing complex SQL queries and database solutions.
• Experience building scalable ETL/ELT pipelines and data ingestion frameworks.
• Experience integrating with ServiceNow and enterprise workflow platforms.

Desired Qualifications:

• Experience supporting Cyber Security Technology Risk Governance Risk & Compliance (GRC) or Enterprise Technology initiatives.
• Experience designing and supporting cybersecurity asset inventory operational reporting or technology risk data solutions.
• Experience building enterprise reporting analytics and data consumption solutions.
• Experience deploying and supporting solutions on OpenShift (OCP) Kubernetes or similar container platforms.
• Experience implementing data governance metadata management data lineage and audit capabilities.
• Experience working with NoSQL databases graph databases Redis or distributed caching technologies.
• Experience managing EPLX deployment pipelines and release management processes.
• Experience implementing database schema and change management through Liquibase.
• Familiarity with Apache Iceberg data platforms and modern lakehouse architectures.
• Experience developing or consuming PySpark data contracts and enterprise data products.
• Experience supporting AI-enabled data services Generative AI Retrieval-Augmented Generation (RAG) or machine learning platforms.
• Experience implementing enterprise data quality and master data management solutions.
• Experience working within highly regulated financial services environments.
• Experience leading large-scale modernization cloud migration or platform transformation initiatives.
• Experience supporting large-scale data warehouse environments.
• Experience designing and implementing event-driven architectures using Kafka or similar streaming technologies.
• Experience developing and supporting enterprise API integrations and data services.
• Experience working with cloud platforms such as Microsoft Azure AWS or Google Cloud Platform.
• Experience working with Oracle databases and enterprise-scale data ecosystems.
• Demonstrated ability to solve complex data engineering challenges involving multiple systems and data domains.
• Strong collaboration skills with cross-functional engineering architecture cybersecurity technology risk and business teams.
• Ability to provide technical leadership mentoring and guidance to engineering teams.

Required Technical Skills

Posting End Date:

*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 units 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 visitDisability 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.