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

Lead Cloud Data Platform Engineer

Location: Chandler, AZ / Charlotte, NC / Minneapolis, MN / Irving, TX (Las Colinas)

Contract Length: 12 months

Pay Rate: $69/hr - $74/hr

Note: We are unable to consider C2C or third‑party submissions.

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.

• 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.

Experience: 5+ years of Software Engineering experience, or equivalent demonstrated through work or consulting experience, training, military experience, or education.

• 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.

• 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.

Everforth 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.

Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.