Lead Cloud Data Platform Engineer - NC, AZ, MN, TX

Lead Cloud Data Platform Engineer

In this contingent resource assignment, you will consult on complex initiatives with broad impact and large-scale planning for Software Engineering. As a Lead Cloud Data Platform Engineer, you will help build next-generation data products and AI-enabled automation capabilities supporting the Cyber Security Data Ecosystem. This role is focused on modern cloud-native data architecture, agentic AI frameworks, large-scale data processing, and analytics modernization as the organization continues its cloud transformation journey.

Key Responsibilities

• Design, develop, and operationalize cloud-native data platforms on Google Cloud.
• Build scalable data ingestion, transformation, and distribution pipelines using Spark-based technologies.
• Develop AI-enabled data products and automation capabilities.
• Leverage Agentic AI frameworks including Lang Chain, Lang Graph, ADK, MCP, RAG, and GraphRAG.
• Implement AI-driven solutions for Data Governance, Data Quality, Metadata Management, Data Compliance, and Data Discovery.
• Develop real-time and batch data processing capabilities using Kafka, Spark Streaming, Flink, and PySpark.
• Design and support Data Lakehouse architecture and cloud analytics platforms.
• Collaborate with principal engineers, product managers, and data engineering teams to define and deliver strategic data capabilities.
• Support cloud migration initiatives and modernization efforts.
• Promote engineering best practices and mentor team members on modern cloud and AI technologies.

Required Qualifications

Experience:

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.

Technical

Skills:

• Strong experience with Cloud Data Engineering on Google Cloud Platform (GCP) including Big Query, Data Proc, Cloud Storage, and Cloud Composer.
• Hands-on experience with AI/Agentic frameworks including Lang Chain, Lang Graph, ADK, RAG, GraphRAG, MCP, and agent-based architectures.
• Experience building and supporting large-scale data pipelines using Python, PySpark, Kafka, Spark Streaming, Flink, and Airflow.

Preferred Qualifications

• Experience developing AI-powered data products and automation frameworks.
• Experience with Data Lakehouse architecture and large-scale analytics platforms.
• Cybersecurity data or security analytics experience.
• Experience leading cloud migration initiatives.

Company Overview

This opportunity is with a leading client in the Financial Services industry.

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 Clearly Rateds Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico.