Lead Data Engineer - Cloud Native Data Engineering, Wells Fargo

Wells Fargo

Location:
United States, Chandler ▼
Charlotte
Irving

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

Lead Cloud Data Platform Engineer to apply deep technical skills to create data products, develop AI-based automation tools, and build a world-class cloud analytics capability for Wells Fargo's Cyber Security Data Ecosystem on a Hybrid cloud. The successful candidate will continually innovate and pioneer the use of new technologies, and drive adoption of these amongst a team of talented data engineers.

Job Responsibility:

Implement and operationalize modern self-serve data capabilities on Google Cloud to ingest, transform, and distribute data for a variety of big data apps
Enable secure data pipelines to ensure data protection in transit and at rest
Automate data governance capabilities to ensure proper data observability throughout the data flows
Leverage AI/Agentic frameworks to automate data management, governance, and data consumption capabilities
Create repeatable processes to instantiate data processes that fuel analytics products and business decisions
Work with principal engineers, product managers, and data engineers to roadmap, plan, and deliver key data capabilities based on priority
Create the Future of Data: design and implement processes using the entire toolset within GCP to shape the future of data

Requirements:

5+ years of Database Engineering experience, or equivalent demonstrated through work experience, training, military experience, education
5+ years of hands-on experience working with Hadoop and Google Cloud data solutions: creating/supporting Spark based processing, Kafka streaming
3+ years of experience with Data lakehouse architecture and design, including hands-on experience with Python, pySpark, Apache Kafka, Airflow, and SQL
2+ years working with NoSQL databases such as columnar databases, graph databases, document databases, KV stores, and associated data formats
Public cloud certifications such as GCP Professional Data Engineer, Azure Data Engineer, or AWS Specialty Data Analytics

Nice to have:

Proven skills with data migration from on-prem to a cloud native environment
Proven experience working with the Hadoop ecosystem capabilities such as Hive, HDFS, Parquet, Iceberg, and Delta Tables
Deep understanding of data warehouse, data cloud architecture, building data pipelines, and orchestration
Design and implementation of highly scalable and modular data pipelines with built-in data controls for automating data governance
Familiarity of GenAI frameworks such as Langchain and Langraph to develop agent-based data capabilities
Dev Ops and CI/CD deployments including Git, Jenkins, Docker, and Kubernetes
Web based UI development using React and Node JS is a plus

Additional Information:

Job Posted:
August 19, 2025

Expiration:
September 05, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Lead Data Engineer - Cloud Native Data Engineering