Core Role Expectation
This role is a hands-on Principal Engineer responsible for architecting, engineering, and enablement of large-scale, multi-tenant enterprise data platforms. The ideal candidate has deep experience building enterprise data lakes, lakehouses, or data warehouses that support data analytics, data engineering, AI/ML, and regulatory workloads across hundreds or thousands of users.
This isnot an application or pipeline-only role. The focus is on platform architecture, scalability, security, and operational excellence for shared enterprise data platforms.
Required Technical & Leadership Skillset
Enterprise Data Platform Architecture & Engineering
- Extensive experience designing, engineering, and operating enterprise-scale data platforms, including data lakes, lakehouses, or data warehouses
- Proven experience leading large, multi-tenant data platforms serving multiple lines of business with strict isolation, governance, and performance controls
- Deep understanding of data platform reference architectures, including:
- Lakehouse patterns (compute/storage separation, open table formats)
- Shared services vs. tenant-owned workloads
- Platform-as-a-product operating models
- Demonstrated ownership of end-to-end platform lifecycle: architecture, build, migration, operations, and modernization
Multi-Tenancy, Scale & Performance
- Hands-on experience designing and enforcing multi-tenant isolation.
- Expertise in capacity planning, workload isolation, quota management, and performance optimization at enterprise scale
- Experience supporting mixed workloads (batch, interactive SQL, streaming, ML/AI) on shared platforms
Data Platform Technologies (Hands-On)
- Strong hands-on expertise with modern data platform ecosystems, such as:
- Compute & Processing: Spark (including Spark at scale), distributed processing frameworks
- Query & Analytics: Trino/Presto or similar distributed SQL engines
- Table Formats & Storage: Iceberg (or similar), Iceberg Rest Catalogue, object storageand enterprise storage platforms
- Metadata, Catalog & Governance: DataHub, Apache Atlas, Hive Metastore, or equivalent
- Experience designing and operating production-grade data services, not just proof-of-concepts
Platform Engineering & Automation
- Strong background in platform engineering principles applied to data platforms:
- Infrastructure as Code (Terraform or equivalent)
- Automated environment provisioning and repeatability
- GitOps or declarative deployment models
- Experience standardizing and industrializing data platforms to support self-service consumption at scale
Security, Governance & Compliance
- Demonstrated experience building secure-by-design data platforms in regulated environments
- Hands-on knowledge of:
- Authentication and authorization models (enterprise IAM integration)
- Fine-grained access controls and data entitlements
- Auditability, lineage, and compliance controls
- Proven ability to partner with Security, Risk, Compliance, and Audit teams to meet regulatory requirements (e.g., SOX, PCI, data privacy)
Technical Leadership & Influence
- Recognized technical leader capable of:
- Setting data platform strategy and standards across the enterprise
- Making architecture decisions that balance scalability, cost, risk, and time-to-market
- Mentoring senior engineers and influencing platform adoption across teams
- Experience leading complex platform migrations or modernizations (e.g., legacy data platforms to modern lakehouse architectures)
Data Platform Components (Platform Enablement)
You provide leadership for the platform that runs these technologies, not the pipelines or applications built on them:
- Compute: Spark on K8s, Kyuubi, JupyterHub
- Query/Analytics: Trino, Superset
- Orchestration: Airflow on Kubernetes
- Catalog/Governance: Gravitino, DataHub, Ranger
- Storage: Iceberg, S3/NetApp, PostgreSQL
- Messaging/Search: Kafka, OpenSearch
Required Qualifications
- 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- 5+ years of hands-on experience with Kubernetes in production environments (OpenShift Container Platform strongly preferred)
- Proven track record designing and operating large-scale data platforms in enterprise environments
Preferred / Differentiating Experience
- Experience in financial services or other highly regulated enterprises
- Prior ownership of enterprise data platform transformations
- Contributions to open-source data or platform ecosystems
- Background in platform product thinking or developer experience for data platforms
- Experience supporting AI/ML workloads on shared enterprise data platforms
Top Skills
What We Do
Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $2.1 trillion in assets. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. Wells Fargo ranked No. 33 on Fortune’s 2025 rankings of America’s largest corporations. Our technology professionals drive innovation, information security, and big data analytics while maintaining a network that handles more than 12 billion customer interactions a year. Join us! Are you looking for more? Find it here. At Wells Fargo, we're more than a financial services leader – we’re a global trailblazer committed to driving innovation, empowering communities, and helping our customers succeed. We believe that a meaningful career is much more than just a job – it’s about finding all of the elements to help you thrive, in one place. Living the Well Life means you’re supported in life, not just work. It means having robust benefits, competitive compensation, and programs designed to help you find work-life balance and well-being. You’ll be rewarded for investing in your community, celebrated for being your authentic self, and empowered to grow. And we’re recognized for it – Wells Fargo once again ranked in the top three – making us the #1 financial services employer – on the 2025 LinkedIn Top Companies list of best workplaces “to grow your career” in the U.S. 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. © 2026 Wells Fargo Bank, N.A. All rights reserved. Member FDIC.
Why Work With Us
We're known for our “Well Life” approach to supporting employees’ career aspirations, work-life balance, and mental and physical health. We ranked in the top 3 on the 2025 LinkedIn Top Companies list – and #1 among financial services companies – as the best workplace “to grow your career” in the U.S.
Gallery
Wells Fargo Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
