Director, Data Engineering & Analytics, Fandango - Remote Eligible

Fandango Director Of Data Engineering

Fandango is seeking an experienced and strategic Director of Data Engineering to lead two mission-critical functions: our Core Data Engineering team and our Fandango360 B2B marketing data platform. This role is ideal for a data leader who thrives at the intersection of data infrastructure, marketing technology, and product innovation. You'll drive the roadmap for data products and pipelines that power decision-making, monetization, and privacy-safe marketing intelligence for the world's top movie studios. You'll lead a team of engineers to build data systems that serve internal stakeholders and external partners, integrating cutting-edge data architecture with real-world entertainment and advertising use cases. The ideal candidate will combine hands-on technical expertise with strong cross-functional leadership, and thrive in a role with broad autonomy, where strategic judgment, initiative, and accountability are essential.

Responsibilities:

• Strategic & Product Leadership
• Drive measurable improvements in data availability, platform reliability, and time-to-insight across product and marketing use cases.
• Own the vision and roadmap for Core Data Engineering and the Fandango360 SaaS platform.
• Act as technical lead and co-owner of the Fandango360 product roadmap, working closely with Product Management to deliver value to studio clients.
• Collaborate with Product, Data Science, and Business stakeholders to deliver scalable, compliant data products.
• Drive innovation in clean room technology, marketing data activation, and advanced use of first-party data.
• Team & Execution Leadership
• Lead, mentor, and scale a team of approximately 10-15 engineers.
• Foster a high-performance, self-directed, and accountable culture focused on quality, velocity, and continuous improvement.
• Partner with Privacy, Legal, and Data Governance teams to ensure ethical and compliant data use.
• Technical Oversight
• Architect solutions for data ingestion, orchestration, warehousing, and analytics using AWS-native services.
• Oversee integrations with internal and external platforms, including social, ad networks, and transactional systems.
• Support deployment of ML models (e.g., recommendation systems, customer segmentation, forecasting) into production pipelines.

Qualifications:

• BS in Computer Science, Engineering, or related field (or equivalent practical experience).
• 10+ years in data engineering roles working with big data, ETL pipelines, and orchestration.
• 5+ years leading technical teams (Data Engineering, Application Engineering, or Platform Engineering).
• Working knowledge of cloud technologies, infrastructure, and technical security fundamentals.
• Deep hands-on experience with: AWS Glue, MWAA (Managed Workflows for Apache Airflow), AWS Lambda, API Gateway, Cognito, Batch orchestration with AWS Batch and Step Functions, SQL, ElasticSearch, and database technologies, Proficiency in API and microservices architecture (REST, serverless patterns), Familiarity with JavaScript/Node.js and modern web frameworks (Angular, React, or Vue).

Desired Characteristics:

• Experience building data warehouses from the ground up, ideally with medallion/lakehouse architecture.
• Operates with autonomy and takes ownership of ambiguous challenges without waiting for top-down direction.
• Familiarity with machine learning pipelines and deploying ML models into production environments.
• Strong knowledge of the Software Development Life Cycle (SDLC) and agile development practices.
• Excellent communication, collaboration, and stakeholder management skills.
• Experience managing multiple priorities and driving execution in fast-paced environments.

Fully Remote: This position has been designated as fully remote, meaning that the position is expected to contribute from a non-NBCUniversal worksite, most commonly an employee's residence.