Lead Software Engineer – AI, Cloud Native Data Engineering

STRATEGIC STAFFING SOLUTIONS HAS AN OPENING!

This is a Contract Opportunity with our company that MUST be worked on a W2 Only. No C2C eligibility for this position. Visa Sponsorship is Available! The details are below.

“Beware of scams. S3 never asks for money during its onboarding process.”

Job title: Lead Software Engineer – AI, Cloud Native Data Engineering

Location: Plano, TX/ Chandler, AZ/ Minneapolis, MN/ Charlotte, NC

Hybrid work- some on site work

Contract Length: 12+ months

We are seeking a Lead Software Engineer – AI, Cloud Native Data Engineering to join a high-performing team focused on building a modern AI-enabled data platform. This role involves developing next-generation data solutions in a fast-paced environment, supporting large-scale data analysis, and contributing to a hybrid cloud data ecosystem.

Key Responsibilities

• Implement and operationalize modern AI-enabled data capabilities on Google Cloud to ingest, transform, and distribute data for big data applications
• Leverage AI/agentic frameworks to automate data management, governance, and data consumption (data pipelines, data quality, metadata, compliance)
• Collaborate within a matrix organization with principal engineers, product managers, and data engineers to roadmap, plan, and deliver data capabilities
• Contribute to migration from on-premises systems to cloud environments
• Lead design and hands-on implementation of modern data processing capabilities

Required Qualifications

• Experience working in a large data environment
• Demonstrated recent experience with AI tools and frameworks such as:
• LangChain
• LangGraph / ADK
• Agentic frameworks
• RAG / GraphRAG
• MCP for agent-based data capabilities
• 5+ years of data engineering experience with hands-on cloud data solutions (Spark-based ingestion and processing)
• 3+ years of experience with data lakehouse architecture and design
• Hands-on experience with:
• Python / PySpark
• Kafka
• Airflow
• Google Cloud Storage
• BigQuery
• DataProc
• Cloud Composer
• Experience developing data flows using Kafka, Flink, and Spark Streaming

Desired Qualifications

• Experience using AI to auto-generate data engineering code, including context engineering and prompt engineering
• Strong background in cloud-based data lakes, warehouses, and automated data pipelines
• Public cloud certifications (GCP Professional Data Engineer, Azure Data Engineer, or AWS Specialty Data Analytics)
• Experience with web-based UI development using React and Node.js