Engineering Manager – Data Infrastructure

Engineering Manager – Data Infrastructure

Requirements

• 5+ years of engineering experience
• 3+ years of engineering management experience
• Deep expertise in building and scaling data infrastructure
• Experience with technologies like Airflow, dbt, data warehouses (BigQuery, Snowflake, Databricks), and cloud services (GCP/AWS)
• Excellent communication skills
• Experience setting technical strategy and roadmaps for complex infrastructure systems
• Comfortable operating in ambiguous, fast-paced environments
• Track record of delivering reliable systems at scale
• Care deeply about data quality, reliability, and security
• Bachelor’s degree in a related field or equivalent experience

Responsibilities

• Lead and grow a team of data infrastructure engineers, providing technical guidance, career development, and performance management
• Partner with research and engineering teams to understand data requirements and architect solutions that meet their needs
• Set technical strategy and oversee development of high-scale, reliable data infrastructure systems
• Design and implement data governance best practices across the organization
• Drive improvements in our data pipeline efficiency, reliability, and maintainability
• Establish processes for effective team operations and continuous improvement
• Mentor top technical talent and help build a strong engineering culture
• Partner with recruiting to build out a world-class data infrastructure team

Preferred Qualifications

• Experience working with ML infrastructure and large-scale AI training systems
• Expertise in distributed systems and cloud architecture
• Experience with real-time data processing systems and streaming architectures
• Experience managing teams during periods of rapid growth
• Knowledge of data privacy and security best practices
• Experience implementing data governance frameworks
• Familiarity with modern ML development workflows and requirements