Job Description
Job#: 3031784 Job Description: Client: Financial Services Team: TBA Job Title: Lead Cloud Data Platform Engineer Location: * Approved Locations (All Allowed): Charlotte, NC Irving, TX Chandler, AZ Columbus, OH Des Moines, IA Minneapolis, MN Contract Length: 12mo Work Arrangement: Hybrid (per site standards) Pay Rate: $81 - $87 Top Requirements (Must Have) 5+ years of Specialty Software Engineering experience, supporting complex, enterprise‑scale initiatives. Proven experience working in large‑scale data environments. Hands‑on data engineering experience with cloud data platforms, including: Spark‑based ingestion and processing Python / PySpark Kafka, Flink, and Spark Streaming 3+ years of experience designing and building data lakehouse architectures, including: Google Cloud Storage BigQuery Dataproc Cloud Composer / Airflow Demonstrable, recent experience with AI‑driven data engineering, including: LangChain LangGraph / ADK Agentic frameworks RAG / GraphRAG MCP‑based agent architectures Ability to operate and lead within a matrixed, Agile environment. Plusses (Desired Qualifications): Experience using AI to auto‑generate data engineering code, prompt engineering, and context engineering. Deep expertise in cloud‑based data lakes, data warehouses, and automated pipelines. Public cloud certifications, such as: GCP Professional Data Engineer Azure Data Engineer AWS Data Analytics Specialty Experience with React and Node.js for web‑based UI development. Background supporting enterprise cybersecurity data ecosystems. Job Summary: Wells Fargo is seeking a Lead Cloud Data Platform Engineer to help build and scale a modern, AI‑enabled cloud data platform supporting the Cybersecurity Data Ecosystem. This role is a senior, hands‑on engineering position responsible for developing advanced data products, enabling AI‑based automation, and leading the adoption of modern data technologies. The engineer will be a key contributor to the migration from on‑prem platforms to a hybrid cloud environment and will play a visible leadership role across data engineering and product teams. Day-to-Day Responsibilities: Implement and operationalize AI‑enabled data capabilities on Google Cloud Design and build scalable pipelines to ingest, transform, and distribute large datasets Leverage agentic AI frameworks to automate: Data management Data governance Metadata and data quality processes Data compliance and consumption workflows Develop streaming and batch data pipelines using Kafka, Flink, Spark, and PySpark Partner with principal engineers, product managers, and data engineers to roadmap, plan, and deliver prioritized capabilities Provide hands‑on leadership during cloud migration initiatives Drive innovation and technology adoption across the data engineering organization Mentor engineers and promote engineering excellence and modern best practices EEO Employer Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at [email protected] or 844-463-6178. Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing® in Talent Satisfaction in the United States and Great Pla