🛠 Tech Stack

💼 About This Role

You'll lead data platform engineering for high-impact client engagements, designing scalable, cloud-native solutions that power analytics, AI, and ML workloads. You'll combine deep engineering expertise with strategic guidance to help enterprises achieve real, measurable transformation. This role offers the chance to shape technology strategy at leading organizations while mentoring a talented engineering team.

🎯 What You'll Do

• Design and build scalable data platforms using cloud-native services
• Establish engineering standards and best practices for data engineering
• Implement ingestion, transformation, and orchestration pipelines
• Enable ML pipelines and collaborate with data scientists

📋 Requirements

• 10+ years of data engineering experience
• Strong Python and SQL skills
• Experience with at least one cloud provider (GCP preferred)
• Experience with DevOps and automation

✨ Nice to Have

• Experience with Snowflake or Databricks
• Knowledge of ML workflows and platform engineering
• Streaming architectures experience

🎁 Benefits & Perks

• 🏖️ Flexible hybrid work in the New York Metropolitan Area