Technology Director – Data Engineering
About The Position
About this role: The COO Technology group delivers technology solutions for the Chief Operating Office, supporting operations, control executives, strategic execution, business continuity, resiliency, data services, regulatory relations, customer experience, enterprise shared services, supply chain management, and corporate properties. Our mission is to modernize and optimize technology platforms for these critical functions. We are seeking a Technology Director to lead Data Platform Architecture and chair the COO Data Platform Architecture Forum, a strategic governance and collaboration initiative within Wells Fargo’s COO Technology division. This role is pivotal in driving data platform modernization, accelerating migration to Google Cloud Platform (GCP), and ensuring architectural consistency across verticals. The ideal candidate is a visionary leader with deep expertise in cloud-native data architectures, AI/ML enablement, and enterprise-scale governance. In this role, you will: Platform Engineering & Architecture Design and implement real-time and batch data architectures 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
- 8+ years of Technology Strategic Leadership experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- 8+ years in data engineering and cloud-based data architecture at scale
- 8+ years defining and executing data strategy for Data Lakes and Warehouses
- 8+ years with data contracts, metadata management, and data quality frameworks
- 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
- 4+ years of management or leadership experience
- 4+ years building high-performing data engineering teams and fostering innovation
- 3+ years leading AI/ML and Generative AI initiatives
Nice To Haves
- 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
- Hands-on experience with GCP stack: BigQuery, Dataflow, Pub/Sub, Cloud Composer, GCS
- Familiarity with BI & ML tools: Tableau, Power BI, Looker, Vertex AI Feature Store, BigQuery ML
- Ability to influence cross-functional teams and executive stakeholders
- Experience in large financial services organizations (100k+ employees)
- Deep experience in DevSecOps best practices and modern CI/CD toolchains (Harness, GitActions)
- Strong executive presence, facilitation skills, and strategic thinking
- Excellent communication and presentation skills across technical and non-technical audiences
- Proven track record of leading teams in high-pressure environments
- Experience with Agile transformations and technology roadmaps
- Familiarity with Java, Big Data, or Open Architecture stack
- Experience managing onshore and offshore teams
Responsibilities
- Platform Engineering & Architecture Design and implement real-time and batch data architectures 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
- 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
Benefits
- Health benefits
- 401(k) Plan
- Paid time off
- Disability benefits
- Life insurance, critical illness insurance, and accident insurance
- Parental leave
- Critical caregiving leave
- Discounts and savings
- Commuter benefits
- Tuition reimbursement
- Scholarships for dependent children
- Adoption reimbursement
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What This Job Offers
Job Type
Full-time
Career Level
Director
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
