Principal Platform Engineer - Data Private Cloud...

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., 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.

• 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), + 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

Pay Range

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.

Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs (https://www.wellsfargojobs.com/en/life-at-wells-fargo/benefits) for an overview of the following benefit plans and programs offered to employees.

• Health benefits

• 401(k) Plan

• Paid time off

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy (https://www.wellsfargojobs.com/en/wells-fargo-drug-and-alcohol-policy) to learn more.