Lead Data Engineer

Summary

Join Philo, a streaming service revolutionizing television, as a Lead Data Engineer. Lead the design and implementation of Philo's data platform architecture, setting technical standards and best practices. Mentor and coach data engineers, collaborating with cross-functional teams to translate business needs into technical solutions. Design scalable data pipelines and infrastructure, manage team workload, and implement data governance. This role requires 10+ years of data engineering experience, including leading teams in cloud-native environments and expertise in AWS data services, Redshift, dbt, and more. The ideal candidate will have experience in the media/streaming industry and knowledge of data modeling.

Requirements

• 10+ years of professional experience in data engineering, ideally with a few years working on high-volume data platforms
• 3+ years of experience leading data engineering teams in cloud-native environments
• Deep expertise in modern data stack technologies, particularly AWS data services, Redshift, dbt, orchestration tools like Airflow and Dagster, Python, and SQL
• Strong track record of designing and implementing data platforms
• Experience mentoring junior engineers and raising team capabilities through technical documentation and knowledge sharing
• Excellent communication skills with technical and non-technical stakeholders, simplifying complex data concepts for various business audiences
• Experience managing cloud-based data platforms (AWS/GCP/Azure)

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 in best practices for data pipeline design, performance optimization, and AWS cloud services
• Collaborate with cross-functional teams to understand data platform needs and translate business requirements into technical solutions
• 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

Preferred Qualifications

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

Benefits

• Full health, dental and vision coverage for you and your family
• 401(k) plan with employer contributions (we match 100% of deferrals up to 3% of pay and 50% of the next 2% of pay)
• Flexible working hours
• Up to 20 weeks of fully paid parental leave
• Unlimited paid time off for vacation and sick leave
• $2,000 annual vacation bonus (we pay you to take a two week vacation)
• $5,250 annually for professional development and educational assistance
• $1,250 annual home office + TV stipend during first year of employment ($250 annually thereafter)
• $500/month ($6,000/year) bonus for employees who commit to working at least 3 days per week in our offices, plus generous commuter benefits ($315/month towards transit, rideshare, bike rental, or parking at our HQ office in San Francisco)
• Free Gympass subscription — an all-in-one corporate benefit that gives employees the largest selection of gyms, studios, classes, training and wellness apps
• Dog-friendly office