{"id":2862018,"url":"https://alion.io/job/wells-fargo-principal-engineer-data-engineering-2","title":"Principal Engineer - Data Engineering","company":{"id":1977,"name":"Wells Fargo","domain":"wellsfargo.com","url":"https://alion.io/company/wells-fargo","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":8,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":3,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Las Colinas, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":158000,"max_usd":309000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":450},"experience_years_min":7,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Iceberg","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Flink","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Hadoop","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-10-14T00:00:00Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-28T09:35:41Z","board_verified":true,"closed_at":null,"days_open":14,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":14},"description":"About this role:\nWells Fargo's Shared Service Operations Technology (SSOT) organization is seeking a Principal Engineer - Data Engineering to drive the architecture, engineering strategy, and modernization of enterprise-scale data platforms and data products. This leader will play a critical role in building secure, scalable, cloud-native data solutions that enable operational intelligence, regulatory reporting, advanced analytics, and data-driven decision making across the enterprise.\nThe ideal candidate brings deep expertise in large-scale data engineering, distributed processing, data lakehouse architectures, and real-time and batch data platforms. In this role, you will provide technical leadership across multiple engineering teams, establish enterprise data engineering standards, and drive the adoption of modern data architectures, governance practices, and metadata-driven solutions. You will partner closely with business and technology stakeholders to deliver resilient, high-performing data capabilities that support Wells Fargo's strategic objectives.\nIn This Role, You Will\nDefine and drive the enterprise data engineering strategy, architecture standards, and technology roadmap.\nLead the design and implementation of scalable cloud-native data platforms, data lakes, data warehouses, and lakehouse architectures.\nArchitect enterprise-grade data ingestion, transformation, conformance, and data product delivery pipelines.\nEstablish engineering standards, design patterns, and best practices for batch, real-time, and event-driven data processing.\nDrive modernization initiatives involving cloud migration, platform consolidation, and legacy data platform transformation.\nDesign highly scalable data solutions leveraging distributed processing frameworks such as Spark and cloud-native analytics services.\nLead technical architecture reviews and provide engineering governance across critical data initiatives.\nEstablish enterprise data modeling standards for operational, analytical, dimensional, and domain-oriented architectures.\nDefine and implement metadata-driven and configuration-driven engineering frameworks.\nDesign resilient data platforms that meet enterprise requirements for scalability, performance, high availability, and disaster recovery.\nPartner with Enterprise Architects, Product Owners, Platform Engineering teams, and Business Leaders to align technology investments with business objectives.\nDrive implementation of data governance, lineage, metadata management, and data quality frameworks.\nLead adoption of DataOps, DevOps, CI/CD, Infrastructure-as-Code, and engineering automation practices.\nDefine observability, monitoring, alerting, and operational excellence standards for enterprise data platforms.\nDesign solutions supporting regulatory reporting, auditability, security, privacy, and compliance requirements.\nEvaluate emerging technologies, architectural patterns, and industry best practices to drive innovation.\nEstablish reusable engineering frameworks and accelerators to improve productivity and reduce delivery risk.\nProvide technical leadership for complex enterprise programs involving multiple delivery teams and business stakeholders.\nMentor senior engineers, technical leads, and solution architects while promoting engineering excellence and continuous learning.\nCollaborate with production support and reliability engineering teams to drive root cause analysis and platform stability improvements.\nRequired Qualifications\n7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education\n5+ years of experience designing and implementing Data Lakes, Data Warehouses, Lakehouse Architectures, and Enterprise Data Platforms.\n5+ years of expertise in distributed data processing technologies including Apache Spark, Dataproc, Hadoop ecosystems, or similar platforms.\n5+ years of experience building cloud-native data solutions using Google Cloud Platform (GCP), AWS, Azure, or equivalent cloud platforms.\n5+ years of programming experience using Python, Java, SQL, or similar engineering languages.\n5+ years of expertise in ETL/ELT architecture, data integration patterns, and enterprise data movement strategies.\n5+ years of knowledge in security, encryption, access controls, and enterprise risk management requirements.\nDesired Qualifications\nExperience building cloud-native data platforms on Google Cloud Platform (GCP).\nStrong knowledge of BigQuery, BigLake, Apache Iceberg, Lakehouse architectures, Dataproc, Cloud Storage, Cloud Composer, DataPlex Knowledge Catalog, Lakehouse Runtime Catalog and Pub/Sub.\nExperience leading cross-functional engineering teams and large-scale technology transformation programs.\nExcellent architecture documentation, communication, and stakeholder management skills.\nExperience implementing CI/CD and DataOps practices for large-scale data engineering environments.\nExperience implementing Medallion Architecture, Data Mesh, or Domain-Oriented Data Architecture principles.\nExperience designing enterprise-scale real-time streaming solutions using Kafka, Pub/Sub, Flink, Spark Streaming, or equivalent technologies.\nFinancial Services, Regulatory Reporting, Financial Crimes, AML, Fraud, KYC, Risk Management, or Compliance domain experience.\nExperience designing highly available, fault-tolerant, and scalable data platforms.\nExperience implementing enterprise metadata and data catalog solutions.\nDemonstrated ability to influence executive stakeholders and drive enterprise-wide technical initiatives.\nExpertise in data platform observability, monitoring, SRE, and operational excellence practices.\nExperience with containerized workloads, Kubernetes, and cloud-native orchestration platforms.\nExperience with Infrastructure as Code using Terraform or similar automation frameworks.\nKnowledge of modern data sharing, data product, and self-service analytics architectures.\nExperience supporting audit, regulatory, and data governance programs.\nStrong experience leading globally distributed engineering teams across onshore and offshore delivery models.\nExperience evaluating and adopting emerging technologies including AI/ML-enabled data engineering and intelligent automation solutions.\nAdvanced understanding of enterprise architecture frameworks and technology governance practices.\nJob Expectations:\nThis position is not eligible for Visa sponsorship\nThis position offers a hybrid work schedule\nMust be able to work on-site at any of the listed locations\nJob Posting Locations:\n 401 Las Colinas Blvd W Bldg A, Irving, Texas 75039\nPosting End Date:\n20 Oct 2026*Job posting may come down early due to volume of applicants.\nWe Value Equal Opportunity\nWells 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.\nEmployees 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.\nCandidates 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.\nApplicants with Disabilities\nTo request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.\nDrug and Alcohol Policy\nWells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.\nWells Fargo Recruitment and Hiring Requirements:\na. Third-Party recordings are prohibited unless authorized by Wells Fargo.\nb. 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