Technology Director – Data Engineering

Wells Fargo Bank•Iselin, NJ

1d•$215,000 - $355,000

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:

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
This position is not eligible for work visa sponsorship
Ability to travel up to 20%

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 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