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Wells Fargo is seeking a Principal Engineer. The Technology for the Chief Operating Office (TCOO) organization provides technology services for the Chief Operating Office. This includes operations, control executives, strategic execution, business continuity and resiliency, data solutions and services, regulatory relations, customer experience, enterprise shared services, supply chain management, and the corporate properties group. TCOO provides technology solutions and manages application portfolios for these groups to support modernization and optimization. Within TCOO we are seeking a Principal Engineer to join the Enterprise Risk Programs Office & Control Technology (ERPOCT) team. The ERPOCT team supports Control Management, Global Privacy, Accessibility & Accommodation Risk, Workplace Services under the Chief Administrative Office.
Job Responsibility:
Act as an advisor to leadership to develop or influence applications, network, information security, database, operating systems, or web technologies for highly complex business and technical needs across multiple groups
Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking
Translate advanced technology experience, an in-depth knowledge of the organizations tactical and strategic business objectives, the enterprise technological environment, the organization structure, and strategic technological opportunities and requirements into technical engineering solutions
Provide vision, direction and expertise to leadership on implementing innovative and significant business solutions
Maintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organization
Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership
Platform Engineering & Architecture: Design and implement real-time and batch data architecture on GCP
Develop scalable data pipelines and orchestration frameworks for AI/ML, BI, and Generative AI use cases
Implement event-driven architectures leveraging Pub/Sub, Dataflow, BigQuery, and Cloud Composer
Build ingestion frameworks for structured/unstructured data using Apache Beam, Dataflow templates, and GCS
Enable semantic layers and knowledge graphs for context-aware dataflows supporting advanced AI systems
Collaborate with data scientists and ML engineers to ensure readiness for LLM fine-tuning and evaluation
Implement data observability, lineage, and governance using Dataplex, Data Catalog, and Looker
ADS Architecture Forum Leadership: Chair the ADS Architecture Forum to align 16 migration efforts across COO verticals
Drive collaboration among architects to share patterns, reusable components, and best practices
Identify and resolve technical blockers through cross-team problem-solving
Provide executive visibility into progress, risks, and resource needs
Promote proven solutions for enterprise-wide adoption and accelerate time-to-production
Requirements:
7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
7+ years of technology strategic leadership experience
4+ years of management or leadership experience
7+ years in data engineering and cloud-based data architecture at scale
7+ years defining and executing data strategy for Data Lakes and Warehouses
3+ years leading AI/ML and Generative AI initiatives
5+ years delivering real-time data platforms using GCP services (Pub/Sub, Dataflow, BigQuery, Cloud Composer)
5+ years with data mesh architectures, query federation tools (Starburst, Trino), and decentralized governance
7+ years with data contracts, metadata management, and data quality frameworks
4+ years building high-performing data engineering teams and fostering innovation
This position is not eligible for work visa sponsorship
Ability to travel up to 20%
Nice to have:
Expertise in data modeling, partitioning, and optimization for AI/ML and BI workloads
Strong knowledge of event-driven architectures and real-time analytics use cases