NBCUniversal-posted 6 months ago
Senior
Orlando, FL

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. At Fandango, we’re passionate about data, storytelling, and delivering great experiences to movie fans and studio partners alike.

  • 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.
  • 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).
  • 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.
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