Vice President, Technical Lead – Data Engineering & Platforms

• 7+ years of Technology Infrastructure Engineering and Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

• 7+ years of experience in Data Engineering, Backend Engineering, or Platform Engineering, with at least 3–5 years in a technical leadership role or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• Expertise in data modeling, data warehousing, ETL/ELT frameworks, and real‑time streaming architectures.
• Strong proficiency in distributed systems, API architecture, and systems integration patterns.
• Demonstrated experience building frontend dashboards and visualization platforms at scale (React, Angular, or similar).
• Ability to engage senior stakeholders and provide clear, concise technical communication.

• Own and drive the technical execution of the product roadmap.
• Align platform capabilities with business, capacity, and operational requirements.
• Translate estate strategy, capacity, and operational needs into scalable product features and platform enhancements.

Data Engineering, Data Modeling & Warehouse Architecture

• Architect and lead the buildout of scalable data warehouses, data lakes, and ETL/ELT pipelines.
• Design optimal data models to support analytics, observability, and operational reporting.
• Ensure data quality, consistency, performance, and reliability through solid schema design, partitioning, indexing, retention, and archival strategies.
• Establish governance, validation, and monitoring frameworks to ensure high‑fidelity capacity and estate insights.

• Architect and guide development of web applications, dashboards, and visualization tools for end‑users in Operations, Capacity Planning, Facilities, and Leadership.
• Ensure highly intuitive, performant UX for large‑scale datasets such as layouts, heat maps, asset views, and capacity insights.
• Establish frontend development standards, component libraries, and scalable API patterns.
• Drive rapid feature delivery without compromising quality, security, or maintainability.

• Lead integrations between the platform and systems.
• Enable near real‑time data flows, event‑driven pipelines, and automation to eliminate manual effort.
• Ensure integrations are resilient, observable, with robust error handling and retry mechanisms.

• Ensure the platform provides accurate, timely insights for capacity risk detection and operational continuity.
• Implement monitoring, telemetry, alerting, and runbook practices and data pipelines.

• Serve as the technical bridge between Product, Operations, Engineering, and Infrastructure leadership.
• Simplify complex technical challenges into clear, business-relevant narratives.
• Cultivate strong partnerships with cross-functional teams to ensure alignment and adoption of estate platform.

• Proven ability to lead cross-functional engineering teams across data, backend, and web domains.
• Experience driving architectural decisions for complex, multi‑system platforms.
• Strong communication skills with senior stakeholders, including the ability to translate technical concepts into business value.
• Track record of influencing product strategy and delivering high-impact, user-centric solutions.
• Provide hands-on leadership and mentorship to engineers across backend, frontend, and data domains.
• Champion engineering best practices, code quality, architectural rigor, and CI/CD excellence.
• Foster a culture of ownership, innovation, technical curiosity, and customer-centric product thinking.
• Recruit, grow, and inspire high-performing technical talent.

• To support the evolution of estate toward predictive and autonomous operations:

• Experience using AI to build predictive or anomaly‑detection models,
• Familiarity with LLM integration, including: Automating documentation and runbooks Background in observability frameworks (Prometheus, Grafana, OpenTelemetry).
• Automating documentation and runbooks
• Background in observability frameworks (Prometheus, Grafana, OpenTelemetry).

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

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.

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