Director, Data Engineering and Analytics

Summary

Join Fandango as their experienced and strategic Director of Data Engineering, leading two mission-critical functions: the Core Data Engineering team and the Fandango360 B2B marketing data platform. You will drive the roadmap for data products and pipelines, powering decision-making and marketing intelligence for top movie studios. Lead a team of engineers to build data systems serving internal and external partners, integrating cutting-edge data architecture with real-world applications. The ideal candidate will blend technical expertise with cross-functional leadership, thriving in a role with broad autonomy. At Fandango, you'll be passionate about data, storytelling, and delivering great experiences. This is a fully remote position.

Requirements

• 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)

Responsibilities

• 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
• 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
• 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

Preferred Qualifications

• 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

Benefits

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