Our client is seeking a Data Engineering Lead – Data, Cloud & AI to architect and deliver modern cloud-based data platforms supporting analytics, AI, and machine learning workloads. This is a senior hands-on engineering role combining deep data engineering expertise with cloud and AI platform leadership.

Responsibilities & Qualifications

• Contribute to and validate data and analytics architecture
• Establish engineering standards and best practices across data platform initiatives
• Design and build scalable data platforms using cloud-native services
• Implement ingestion, transformation, and orchestration pipelines
• Implement and support Data Product frameworks
• Optimize platform performance and cost efficiency
• Implement Infrastructure-as-Code and CI/CD pipeline integrations
• Enable observability, reliability, and containerized workload standards
• Enable ML pipelines and support model deployment and monitoring
• Collaborate with data scientists and architects on feature engineering workflows

Requirements

• 10+ years of data engineering experience
• Strong Python and SQL skills
• Experience with GCP data services (BigQuery, Dataflow, Vertex AI, Pub/Sub)
• Experience with Snowflake or Databricks
• Knowledge of ML workflows and platform engineering
• Experience with streaming architectures
• Experience with DevOps, automation, and Infrastructure-as-Code
• Familiarity with AI/LLM code assist tools
• Strong understanding of modern data modeling approaches