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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Cloud Data Platform Engineer (contract) - **Company:** Wells Fargo - **Location:** Phoenix, AZ, United States (Remote available) - **Experience:** Expert - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Airflow, Microsoft Azure, Big Data, BigQuery, Cloud Database, Cloud Storage, Cyber Security, Information Engineering, Dataspaces, Python (Programming Language), Metadata, Software Tools, Software Engineering, Data Streaming, Data Processing, Google Cloud, Cloud Platform System, Apache Spark, HybridCloud, Pyspark, Apache Flink, Apache Kafka, Spark Streaming, Data Management, Data Lakehouse, Data Pipelines - **Published:** July 17, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=1a3d62198aa1227b ## About the Role 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., * 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 ## Description 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 ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) ## Related Articles - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Got AI ideas but no money? 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