Lead Data Engineer

Job Description

Philo is seeking a Lead Data Engineer to join their team. In this role, the individual will be responsible for designing and implementing Philo's long-term Data Platform Strategy while providing technical leadership to enhance data engineering practices. The ideal candidate will have strong opinions on data stack architecture and how to improve velocity across the entire Data Team at Philo.

Responsibilities:

• Lead the design and implementation of Philo's data platform architecture
• Set technical standards and best practices for data engineering work
• Mentor and coach data engineers
• Collaborate with cross-functional teams
• Design scalable data pipelines and infrastructure
• Manage team workload, priorities, and delivery timelines
• Implement data governance, security, and quality control processes
• Drive technical decisions with a focus on long-term sustainability

Key Qualifications:

• 10+ years of data engineering experience
• 3+ years of experience leading data engineering teams in cloud-native environments
• Expertise in modern data stack technologies (AWS, Redshift, dbt, Airflow, Dagster, Python, SQL)
• Experience mentoring junior engineers
• Excellent communication skills
• Experience managing cloud-based data platforms (AWS/GCP/Azure)

Ideal Qualifications:

• Experience in media/streaming industry
• Knowledge of data modeling and dimensional design
• Experience with data governance and compliance requirements
• Background in implementing data quality frameworks

Philo offers:

• Full health, dental and vision coverage
• 401(k) plan with employer contributions
• Flexible working hours
• Unlimited paid time off
• Annual vacation bonus
• Professional development and educational assistance
• Home office and TV stipend
• Commuter benefits
• Free Gympass subscription
• Dog-friendly office