About this role:

Wells Fargo is seeking a Lead Software Engineer – Data Engineering to join the CALM (Corporate Asset and Liability Management) Data Engineering team within the Enterprise Functions Technology (EFT) organization. In this role, you will be responsible for designing, developing, optimizing, and maintaining metadata‑driven, scalable, high‑performance data engineering frameworks that power critical financial risk processes across Corporate Treasury.

You will work independently to build resilient data pipelines, APIs, wrappers, and supporting components to enable reliable data ingestion, transformation, validation, and delivery across cloud and on‑prem ecosystems. This position plays a key role in Data Center exit migrations, DPC onboarding, and enterprise-wide modernization initiatives.

The role requires deep technical expertise, hands‑on problem‑solving, and technical leadership in distributed data engineering, cloud platforms, data quality, and performance engineering.

Key Responsibilities

• Architect, develop, and optimize both batch and streaming data pipelines using Python, SQL, and Apache Spark. These pipelines are implemented across both cloud and on-premises environments to ensure flexibility and scalability.
• Lead lakehouse engineering efforts by utilizing open table formats such as Iceberg, Delta, or Hudi. This includes implementing Medallion architectures to govern data ingestion, transformation, and consumption processes.
• Establish comprehensive frameworks for data quality, observability, lineage, and service-level agreements (SLA), guaranteeing reliability and auditability of data at scale.
• Design secure REST and metadata APIs to facilitate governed data access and seamless integration with downstream applications.
• Collaborate closely with cross-functional product, architecture, and business teams, providing technical leadership through design reviews, mentoring, and contributions to the platform roadmap.

Required Qualifications

• Minimum 8+ of hands-on experience with large-scale data engineering using Python, SQL, and Apache Spark.
• Expertise in designing and implementing metadata-driven ETL/ELT pipelines and robust data ingestion and validation frameworks.
• Skilled in optimizing distributed Spark workloads, storage layouts, and schema evolution within lakehouse environments.
• Proficient with enterprise orchestration tools such as Autosys or Airflow; able to operate production-grade data pipelines meeting SLAs with effective alerting.
• Strong knowledge of data modeling, API development, and CI/CD or infrastructure automation processes.
• Familiarity with major cloud platforms, data governance tools, and secure engineering best practices.
• Preferred: Experience with financial data, risk or treasury systems, and large-scale migration programs.
• Applying GenAI for metadata extraction, data anomaly detection, automated documentation, or pipeline optimization.

Job Expectations

• Deliver high-quality engineering outcomes during Data Center exit migrations and DPC onboarding, ensuring validations, automation, and production readiness.
• Collaborate with cross-functional teams to build scalable, high‑performance data solutions using Python, SQL, Spark, Iceberg, Dremio, and Autosys.

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 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.