Lead Cloud Data Platform Engineer Job in Irving, TX (Hybrid Contract) – Wells Fargo
Job Overview
Cloud Data Platform Engineer Job Irving TX Apply for Lead Cloud Data Platform Engineer job at Wells Fargo in Irving, TX. Hybrid role. Work with Spark, Kafka, GCP & AI-powered data pipelines Lead Data Engineer jobs USA
Company: Wells Fargo
Role: Lead Cloud Data Platform Engineer
Location: Irving
Job Type: Contract
Work Mode: Hybrid
Experience Level: Lead / Staff Level
Wells Fargo is seeking a highly skilled Lead Cloud Data Platform Engineer to join its advanced data engineering team. This role is critical in designing, building, and operating scalable, reliable, and high-performance data pipelines across both on-premises and cloud environments. Wells Fargo data platform jobs The ideal candidate will have deep expertise in cloud data platforms, distributed systems, and AI-powered data engineering, and will play a key role in bridging the gap between development and production operations.
This is an exciting opportunity to work in a cutting-edge FinTech environment, where data is central to decision-making, compliance, and customer experience.
Key Responsibilities
🔹 Data Quality, Governance & Optimization
- Define and implement data quality (DQ) rules, ensuring consistent and accurate data across systems
- Recommend and enforce non-functional requirements (NFRs) based on operational trends
- Continuously improve data quality through cleansing, validation, and profiling techniques
- Define and manage data contracts between upstream and downstream systems
🔹 Data Pipeline Engineering & Orchestration
- Design, build, and optimize scalable batch and streaming data pipelines
- Implement orchestration workflows using Apache Airflow and Cloud Composer
- Ensure data pipelines meet strict SLA/OLA requirements for availability and performance
- Automate workflow scheduling, retries, dependency handling, and self-healing processes
🔹 Streaming & Distributed Data Processing
- Develop and maintain real-time data pipelines using Kafka, Flink, and Spark Streaming
- Work with Spark and PySpark for large-scale distributed data processing
- Implement modern Data Lakehouse architectures to unify analytics and storage
🔹 AI-Driven Data Engineering & Automation
- Build intelligent data systems using LangChain, LangGraph, RAG, and GraphRAG frameworks
- Leverage AI for automated code generation, context engineering, and prompt engineering
- Enable automation of data governance, metadata management, and pipeline monitoring
- Implement AI-powered solutions to improve efficiency and reduce manual intervention
🔹 Cloud & Platform Engineering
- Work extensively with Google Cloud Platform (GCP) services such as:
- BigQuery
- Cloud Storage
- Dataproc
- Cloud Composer
- Support hybrid architectures integrating Cloudera Hadoop with cloud platforms
- Optimize cloud resources for cost, performance, and scalability
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🔹 DevOps, Observability & Incident Management
- Implement and maintain CI/CD pipelines for data engineering workflows
- Monitor systems using observability tools and improve reliability through automation
- Participate in incident response, root cause analysis (RCA), and post-incident reviews
- Create and maintain runbooks, documentation, and operational metrics
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Required Skills & Qualifications
- Extensive experience in cloud data engineering and platform architecture
- Strong programming expertise in Python, PySpark, and Spark
- Hands-on experience with:
- Kafka, Airflow, Flink, Spark Streaming
- BigQuery, Dataproc, Cloud Composer, GCS
- Proven experience in Data Lakehouse architecture and distributed systems
- Expertise in AI frameworks (LangChain, RAG, GraphRAG) for data engineering use cases
- Strong knowledge of data observability, governance, and pipeline optimization
- Experience with cloud certifications (GCP, AWS, Azure) is highly preferred
🚫 Important: Applicants must be authorized to work in the U.S. (No H1B sponsorship)
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Preferred Skills
- Experience in web-based UI development (React, Node.js)
- Exposure to AI-driven enterprise data automation systems
- Background in financial services, banking, or large-scale enterprise environments
Benefits
- Comprehensive Health Insurance
- Life Insurance Coverage
- 401K Retirement Plan
- Additional Voluntary Benefits
Salary & Market Insights
This is a high-impact Lead/Staff-level contract role aligned with the growing demand for AI-integrated data engineering professionals. With organizations rapidly adopting cloud-native and AI-driven architectures, professionals with expertise in GCP, Spark, Kafka, and AI frameworks are among the highest-paid in the market.
This role offers a unique opportunity to work on enterprise-scale financial systems, handling mission-critical data pipelines that directly impact business operations, compliance, and customer insights Cloud Data Platform Engineer Job Irving TX
Apply Now: https://jobright.ai/jobs/info/69cafbb8aa3c2c1995e32b41
Frequently Asked Questions
1. Is this a remote role?
No, this is a hybrid position based in Irving, TX, requiring some onsite presence.
2. What makes this role unique?
This role combines cloud data engineering, AI automation, and platform reliability, making it highly advanced and future-focused.
3. What technologies are most important?
Key technologies include Spark, Kafka, Airflow, GCP, and AI frameworks like LangChain and RAG.
4. Is prior AI experience mandatory?
Yes, experience with AI-driven data engineering and agent-based frameworks is required.
How to Apply
Interested candidates can apply via the official Wells Fargo careers portal https://jobright.ai/jobs/info/69cafbb8aa3c2c1995e32b41
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