Head of Data Engineering

🕒 March 20

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Philo

51 - 200 employees

Founded 2010

📱 Media

📡 Telecommunications

💰 $50M Series D on 2020-08

Media • Telecommunications

Philo is a streaming service offering access to a wide array of TV shows and movies. Geared towards viewers in the United States, Philo provides channels for entertainment enthusiasts seeking diverse content options. The service emphasizes user-friendly features and comprehensive support for devices, and it actively engages with its audience through blogs, press releases, and job opportunities, while maintaining a focus on privacy and accessibility.

📋 Description

• Own the vision and technical strategy for data engineering and analytics engineering at Philo, setting the direction for how data is ingested, modeled, and delivered across the organization • Own the team’s roadmap, balancing strategic long-term investments with near-term stakeholder needs • Lead and grow the Data Engineering team, including hiring, career development, performance management, and supporting the team in generally thriving • Lead the design and implementation of Philo's data platform architecture, including setting technical standards and best practices for data engineering and analytics engineering work • Collaborate with cross-functional teams to understand data platform needs and translate business requirements into technical solutions • Build and maintain stakeholder trust in data and reporting — ensuring that business teams have reliable, well-documented, and well-understood data products • Design scalable data pipelines and infrastructure; drive technical decisions with a focus on long-term sustainability • Implement data governance, security, and quality control processes as needed • Ultimately, deliver on the alchemy of transforming raw, messy application data into trusted business insight through scalable dimensional modeling and a metric layer that faithfully reflects product and customer behavior.

🎯 Requirements

• 10+ years of professional experience spanning data engineering and analytics engineering, ideally with a few years working on high-volume data platforms • 4+ years of experience managing and leading data teams, with demonstrated experience owning both data engineering and analytics engineering functions at a prior organization • Deep expertise in modern data stack technologies, particularly AWS data services, Snowflake, dbt, Airflow, Airbyte, Python, and SQL • Deep expertise in analytics engineering, including dbt model design, dimensional modeling, and delivering trusted, business-facing data products • Strong people management skills with experience providing coaching, performance feedback, and career development guidance to direct reports. • Track record of improving stakeholder trust in reporting and data quality across an organization • Strong track record of designing and implementing data platforms • Excellent communication skills with technical and non-technical stakeholders, simplifying complex data concepts for various business audiences.

🏖️ 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 • And much more!

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