Cybersecurity-Software Engineering

Lead Cloud Data Platform Engineer (AI & Data Engineering)

Employment Type: Contract / Contingent Resource Assignment
We are seeking a Lead Cloud Data Platform Engineer to build and modernize the Cyber Security Data Ecosystem on a hybrid cloud platform. This role combines advanced data engineering expertise with emerging AI technologies to develop scalable data products, automate data operations, and drive cloud transformation initiatives.
The ideal candidate will have deep experience in cloud-native data platforms, real-time data processing, AI-powered data solutions, and modern Lakehouse architectures. You will play a key role in designing and implementing next-generation analytics capabilities while helping guide the migration from on-premises environments to cloud-based platforms.
This position offers significant visibility and collaboration with principal engineers, product managers, architects, and data engineering teams across the organization.
Design, develop, and operationalize AI-enabled data platforms and data products on Google Cloud.
Build scalable data ingestion, transformation, and distribution pipelines supporting large-scale analytics and cybersecurity initiatives.
Utilize AI and agentic frameworks to automate data management, governance, quality monitoring, metadata management, and compliance processes.
Develop and maintain real-time and batch data processing solutions using modern streaming technologies.
Lead implementation of Lakehouse architectures and cloud-native data platforms.
Partner with engineers, architects, and business stakeholders to define technical roadmaps and prioritize strategic data initiatives.
Drive adoption of modern engineering standards, best practices, and emerging technologies across the data engineering organization.
Support cloud migration efforts from on-premises environments to Google Cloud-based architecture.
Mentor team members and provide technical leadership across multiple projects and initiatives.
Ensure solutions are secure, scalable, reliable, and aligned with enterprise data governance requirements.
AI & Agentic Framework Experience
Recent hands-on experience building AI-powered data solutions using:
Agentic AI frameworks
Data Engineering Experience

• 5+ years of hands-on data engineering experience.
• Experience designing and supporting cloud-based data platforms and processing frameworks.
• Strong expertise building Spark-based ingestion and transformation solutions.

Cloud Data Platform Experience

• 3+ years of experience working with Data Lakehouse architectures and cloud-native data platforms.
• Python
• Google Cloud Storage (GCS)
• Cloud Composer

Streaming & Real-Time Data Processing
Experience developing and maintaining real-time data processing solutions utilizing:
Experience building AI-driven automation capabilities for enterprise data platforms.
Knowledge of cybersecurity data ecosystems and analytics environments.
Experience operating within Agile development teams.
Strong understanding of cloud migration strategies and hybrid cloud architectures.
Programming & Development
Python
Cloud Platforms
Google Cloud Platform (GCP)
Google Cloud Storage
Cloud Composer
Data Engineering & Analytics
Data Pipelines
Data Modeling
Data Governance
Metadata Management
AI & Machine Learning
Work on cutting-edge AI and data engineering initiatives within a large-scale enterprise environment.
Drive innovation in cloud modernization and data platform transformation.
Build intelligent data solutions that improve cybersecurity operations and analytics.
Gain exposure to advanced AI, cloud, and real-time data technologies at enterprise scale.