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Wells Fargo is seeking a highly motivated Senior Engineering Manager to lead data engineering teams within the HR Information Technology organization. This role will drive innovation, shape the data strategy, and oversee the design, development, and delivery of scalable data engineering solutions across the HR data ecosystem. You will own strategy and execution for enterprise data initiatives, Cloud engineering, Data Lake/lakehouse, and data products - while managing high-performing teams of data engineers. As a transformational leader, you will collaborate closely with agile teams and product managers to deliver impactful outcomes through enterprise architecture frameworks and modern engineering practices. You will bring deep technical insight into all components of the solution landscape and leverage that expertise to guide strategic decision‑making. You will champion process improvements, operational excellence, and scalable capacity planning to ensure the organization is equipped to meet ongoing technical and business demands.
Job Responsibility
Manage, coach, and develop a team or teams of experienced engineers and engineering managers in roles with moderate complexity and risk, responsible for building high quality capabilities with modern technology
Ensure adherence to the Banking Platform Architecture, and meeting non-functional requirements with each release
Partner with, engage and influence architects and experienced engineers to incorporate Wells Fargo Technology technical strategies, while understanding next generation domain architecture and enable application migration paths to target architecture
for example cloud readiness, application modernization, data strategy
Function as the technical representative for the product during cross-team collaborative efforts and planning
Identify and recommend opportunities for driving escalated resolution of technology roadblocks including code, build and deployment while also managing overall software development cycle and security standards
Determine appropriate strategy and actions to act as an escalation partner for scrum masters and the teams to meet moderate to high risk deliverables and help remove impediments, obstacles, and friction while encouraging constant learning, experimentation, and continual improvement
Build engineering skills side-by-side in the codebase, conduct peer reviews to evaluate quality and solution alignment to technical direction, and guide design, as needed
Interpret, develop and ensure security, stability, and scalability within functions of technology with moderate complexity, as well as identify, manage and mitigate technology and enterprise risk
Collaborate with, partner with and influence Product Managers/Product Owners to drive user satisfaction, influence technology requirements and priorities in the product roadmap, promote innovative and intelligent solutions, generate corporate value and articulate technical strategy while being a solid advocate of agile and DevOps practices
Interact directly with third party vendors and technology service providers
Manage allocation of people and financial resources to ensure commitments are met and align with strategic objectives in technology engineering
Hire, build and guide a culture of talent development to have the skills required to effectively design and deliver innovative solutions for product areas and products to meet business objectives and strategy, as well as conduct performance management for engineers and managers
Requirements
6+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
3+ years of management or leadership experience
Nice to have
6+ years of IT experience, including 6+ years in Data engineering and 3 + years in engineering leadership and people management
6+ years of Data Engineering experience, with strong expertise in driving migration from legacy data platforms to cloud‑native, lakehouse‑based architectures
3+ Years of 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)
Experience with data modeling, ETL/ELT patterns, and Lakehouse architecture
Hands on experience in building modernized applications using Microservice architecture
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
HCM domain experience is a plus
Working knowledge of REST APIs, Object Storage, Dremio, and CI/CD pipelines
Proven ability to drive cross-functional programs and influence senior stakeholders
Excellent communication, leadership, and strategic thinking skills