Principal Engineer - Public Cloud Data
Wells Fargo3 days ago
Charlotte, NC, USAStaff+
Base Salary
$159k - $254k/yr
Responsibilities
- Define target-state architectures and engineering standards for cloud-native data, analytics, AI/ML, and Agentic AI platforms.
- Lead modernization of legacy data platforms into scalable public-cloud ecosystems, including lakehouse, data mesh, streaming, and real-time analytics platforms.
- Establish standards for data ingestion, transformation, governance, metadata, lineage, catalogs, and data quality.
- Lead development of enterprise Agentic AI solutions, orchestration frameworks, reasoning engines, MCP-based integrations, multi-agent systems, and human-in-the-loop controls.
- Architect AI-enabled automation for data onboarding, pipeline generation, metadata enrichment, policy enforcement, data-quality validation, incident remediation, and operational intelligence.
- Define responsible AI, explainability, model governance, auditability, and enterprise AI control frameworks.
- Drive cloud platform reliability, scalability, resiliency, observability, disaster recovery, SLOs, reliability metrics, and operational excellence.
- Partner with engineering teams on Infrastructure as Code, platform automation, self-service capabilities, and DevOps practices.
- Collaborate with cybersecurity, IAM, risk, audit, regulatory compliance, product, architecture, engineering, and business leaders.
- Design secure, compliant, high-performance, and cost-efficient cloud data ecosystems.
Requirements
- At least 7 years of engineering experience or equivalent demonstrated through work experience, training, military experience, or education.
- At least 7 years designing enterprise-scale data and analytics platforms.
- At least 5 years delivering AI/ML, Generative AI, or Agentic AI solutions in complex enterprise environments.
- Proven experience leading enterprise-wide cloud transformation initiatives.
- Deep expertise in one or more public-cloud platforms, with Google Cloud Platform preferred; Microsoft Azure and Amazon Web Services are also listed.
- Strong experience with data lakehouse architectures, BigQuery, Snowflake, Databricks, Starburst, or equivalent platforms.
- Experience with streaming and event-driven architectures; data governance, metadata, lineage, and catalog solutions; Kubernetes and container platforms; and Infrastructure as Code and DevOps automation.
- Experience designing enterprise AI platforms and MLOps frameworks, including Large Language Models, Retrieval Augmented Generation, Agentic AI architectures, multi-agent systems, vector databases, model evaluation and monitoring, and MCP ecosystems.
- Advanced degree in Computer Science, Engineering, Data Science, AI, or a related field is desired.
- Industry certifications in public cloud, data engineering, AI/ML, or security are desired.
- Experience in regulated industries and contributions to standards, patents, open-source projects, or published technical thought leadership are desired.
Benefits
- Hybrid work schedule; telecommuting is not available.
- Relocation assistance is not available.
- Health benefits, 401(k) plan, paid time off, disability benefits, life insurance, critical illness insurance, accident insurance, parental leave, and critical caregiving leave.
- Discounts and savings, commuter benefits, tuition reimbursement, dependent-child scholarships, and adoption reimbursement.
- Eligible employees may also receive incentive opportunities.
Tech Stack
Categories
About Wells Fargo
Wells Fargo & Company is a U.S.-based financial services firm providing consumer and commercial banking, mortgages, credit, and wealth/investment services to individuals, small businesses, and enterprises. It earns revenue from interest income and fees across retail banking, payments, lending, and capital markets. Founded in 1852 and headquartered in San Francisco, it is publicly traded on the NYSE (WFC) and operates nationally with offices in multiple countries.