Title: Lead Cloud Data Platform Engineer
Locations: Phoenix, AZ
Alternate Locations: Dallas, TX or Minneapolis, MN
Duration: 12 months
Work Engagement: W2
Work Schedule: 3 days in office/2 days remote
Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits
Summary:
In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Software Engineering. Review and analyze complex multi-faceted, larger scale or longer-term Software Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel. Required Qualifications: 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
We are currently seeking a 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. You will be an integral part of our migration from our on-premises systems to the Google Azure cloud. You will be a vital member of an agile team helping to lead the design and hands-on implementation of modern data processing capabilities. This is a visible role that allows you to share your knowledge and skills with other developers and product teams in a collaborative environment.
In this role you will:
Implement and operationalize modern AI-enabled data capabilities on Google Cloud to ingest, transform, and distribute data for a variety of big data apps
Leverage AI/Agentic frameworks to automate data management, governance, and data consumption capabilities - data pipelines, data quality, metadata, data compliance, etc.
Work within a matrix org. with principal engineers, product managers, and data engineers to roadmap, plan, and deliver key data capabilities based on priority
Qualifications:
Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.
6-7 months AI experience
GCP experience (min 2 yrs experience)
Demonstrable skills (recent) using AI tools such as LangChain, LangGraph/ADK, agentic frameworks, RAG, GraphRAG, and using MCP to build agent-based data capabilities
5+ years of experience in data engineering including hands-on experience working with Cloud data solutions: creating/supporting Spark based ingestion and processing
3+ years of experience with Data Lakehouse architecture and design, including hands-on experience with Python, pySpark, Kafka, Airflow, Google Cloud Storage, Big Query, Data Proc, Cloud Composer
Hands-on experience developing data flows using Kafka, Flink, and Spark streaming
We believe in our vision and values just as strongly today as we did the first time we put them on paper more than 20 years ago. Staying true to them will guide us toward continued growth and success for decades to come. As you read more about our vision and values, you will learn about who we are, where we’re headed and how every Wells Fargo team member can help us get there.