Director of Data Engineering

Philo: a streaming service for TV and movie lovers At Philo, we’re a group of technology and product people who set out to build the future of television, marrying the best in modern technology with the most compelling medium ever invented — in short, we’re building the TV experience that we’ve always wanted for ourselves. In practice this means leveraging cloud delivery, modern tech stacks, machine learning, and hand-crafted native app experiences on all of our platforms. We aim to deliver a rock solid experience on the streaming basics, while cooking up next generation multi-screen and multi-user playback experiences. Data at Philo Data underpins everything we do at Philo: making informed business decisions; analyzing and improving the quality of our streaming experience; running product experiments to optimize our signup flows and improve user journeys; and making it effortless for our users to find the perfect thing to watch. Philo serves over a billion streams to its users every year, generating a wealth of data that we leverage at all levels of the organization. Philo’s data platform operates at very large scale, processing trillions of events annually in a petabyte-scale data lake and supporting thousands of data workflows and analytical queries that power decision-making across the company. Philo’s Data Engineering team encompasses both data engineering and analytics engineering, and we’re looking for people who are comfortable working on complex data infrastructure and modeling challenges that support critical business functions across our streaming services. You’ll be working closely with other data scientists, analysts, and engineers to build and deploy solutions directly for our service – this work spans both foundational data platform work like data warehouse architecture, metric governance, and semantic consistency across our entire data stack. In addition, you’ll work with departments across the organization to understand their data needs and deliver high-performance, reliable data systems to help the entire team thrive. We are passionate about building robust, scalable data infrastructure and providing a high-quality data platform for the entire company, using both cutting-edge technologies and proven engineering practices in close collaboration with every department. To complete our work, we build on modern tools including AWS-native services, dbt, Segment, Snowflake, AWS SageMaker, Spark, Avo, BigEye and more. Some of the recent projects that data and analytics engineers at Philo have worked on include building new models for key financial data, dbt model design, data warehouse cluster upgrades and maintenance, per-query infra cost optimization, implementation of Apache Iceberg data storage, benchmarking & improving data warehouse performance, and evaluating alternative data warehouse technologies. The Role We're seeking a senior technical and foundational leader to own and drive the vision, strategy, and execution of our Data Engineering team, encompassing both the data engineering and analytics engineering functions at Philo. This is a strategic and high-impact role: you'll set the long-term direction for our entire data platform, lead and grow a team of data and analytics engineers, and roll up your sleeves to architect and build alongside them. The ideal candidate has owned both disciplines before — data infrastructure and analytics engineering — and brings strong opinions on how to structure a high-velocity, high-trust data organization. Responsibilities: 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