Associate Director, Data Engineering (Remote)

📋 Description

• Build, maintain, and scale production data pipelines and infrastructure.
• Architect data models and infrastructure for high data quality and accessibility.
• Deploy statistical and ML models into production with DataOps practices.
• Automate manual data processes and optimize data delivery for scalability.
• Collaborate with cross-functional teams to identify data sources and deliver solutions.

🎯 Requirements

• Strong experience designing and building scalable data pipelines on cloud platforms.
• ELT, data lakes/lakehouses, data warehouses, and metadata-driven frameworks.
• Git, code reviews, modular and testable code; CI/CD.
• Proficiency in Python and SQL with clean, maintainable code.
• Orchestration frameworks and workflow automation.
• Data modeling, governance, lineage, observability, monitoring.

The Essentials

• Bachelor's or Master's in CS/Statistics/Math or equivalent.
• 5+ years in data engineering or data warehousing.
• Hands-on experience with common ETL tools.
• Expertise in ad tech data, measurement, and attribution tools.
• Agile methodologies and DataOps in pipeline delivery.
• Client/consulting background with adaptability to evolving needs.