Principal Platform Engineer - Data Private Cloud (Kubernetes/OpenShift)

Principal Engineer -Data Platforms (Enterprise Data Platforms, Lakehouse, Multi-Tenant Architectures)Core Role ExpectationThis 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 SkillsetEnterprise Data Platform Architecture & EngineeringExtensive experience designing, engineering, and operating enterprise-scale data platforms, including data lakes, lakehouses, or data warehousesProven experience leading large, multi-tenant data platforms serving multiple lines of business with strict isolation, governance, and performance controlsDeep understanding of data platform reference architectures, including:Lakehouse patterns (compute/storage separation, open table formats)Shared services vs. tenant-owned workloadsPlatform-as-a-product operating modelsDemonstrated ownership of end-to-end platform lifecycle: architecture, build, migration, operations, and modernizationMulti-Tenancy, Scale & PerformanceHands-on experience designing and enforcing multi-tenant isolation.Expertise in capacity planning, workload isolation, quota management, and performance optimization at enterprise scaleExperience supporting mixed workloads (batch, interactive SQL, streaming, ML/AI) on shared platformsData Platform Technologies (Hands-On)Strong hands-on expertise with modern data platform ecosystems, such as:Compute & Processing: Spark (including Spark at scale), distributed processing frameworksQuery & Analytics: Trino/Presto or similar distributed SQL enginesTable Formats & Storage: Iceberg (or similar), Iceberg Rest Catalogue, object storageand enterprise storage platformsMetadata, Catalog & Governance: DataHub, Apache Atlas, Hive Metastore, or equivalentExperience designing and operating production-grade data services, not just proof-of-conceptsPlatform Engineering & AutomationStrong background in platform engineering principles applied to data platforms:Infrastructure as Code (Terraform or equivalent)Automated environment provisioning and repeatabilityGitOps or declarative deployment modelsExperience standardizing and industrializing data platforms to support self-service consumption at scaleSecurity, Governance & ComplianceDemonstrated experience building secure-by-design data platforms in regulated environmentsHands-on knowledge of:Authentication and authorization models (enterprise IAM integration)Fine-grained access controls and data entitlementsAuditability, lineage, and compliance controlsProven ability to partner with Security, Risk, Compliance, and Audit teams to meet regulatory requirements (e.g., SOX, PCI, data privacy)Technical Leadership & InfluenceRecognized technical leader capable of:Setting data platform strategy and standards across the enterpriseMaking architecture decisions that balance scalability, cost, risk, and time-to-marketMentoring senior engineers and influencing platform adoption across teamsExperience 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, JupyterHubQuery/Analytics: Trino, SupersetOrchestration: Airflow on KubernetesCatalog/Governance: Gravitino, DataHub, RangerStorage: Iceberg, S3/NetApp, PostgreSQLMessaging/Search: Kafka, OpenSearchRequired Qualifications7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education5+ 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 environmentsPreferred / Differentiating ExperienceExperience in financial services or other highly regulated enterprisesPrior ownership of enterprise data platform transformationsContributions to open-source data or platform ecosystemsBackground in platform product thinking or developer experience for data platformsExperience supporting AI/ML workloads on shared enterprise data platformsPay RangeReflected 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.$159,000.00 - $305,000.00BenefitsWells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.Health benefits401(k) PlanPaid time offDisability benefitsLife insurance, critical illness insurance, and accident insuranceParental leaveCritical caregiving leaveDiscounts and savingsCommuter benefitsTuition reimbursementScholarships for dependent childrenAdoption reimbursementPosting End Date:28 May 2026 Job posting may come down early due to volume of applicants. We Value Equal OpportunityWells 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.Applicants With DisabilitiesTo request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .Drug and Alcohol PolicyWells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.Wells Fargo Recruitment And Hiring Requirements Third-Party recordings are prohibited unless authorized by Wells Fargo. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.Reference NumberR-512394-2