Director of Data Engineering

Philo is a streaming service for TV and movie lovers, and they are seeking a Director of Data Engineering to lead and drive the vision for their data engineering and analytics engineering teams. This role involves setting the strategic direction for the data platform, managing a team, and collaborating with cross-functional teams to deliver high-quality data solutions.

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 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
• Experience in media/streaming industry with understanding of video delivery analytics and metrics
• Demonstrated experience driving organizational alignment around data definitions, metrics, and a single source of truth
• Experience with data governance and compliance requirements
• Background in implementing data quality frameworks