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Versant Media · 6 hours ago

Director, Data Engineering & Analytics, Fandango

United States

Full-time

Remote

Director/Executive

10+ years exp

Versant Media is a leading force in news, sports, and entertainment, and they are seeking an experienced Director of Data Engineering to lead their Core Data Engineering team and Fandango360 B2B marketing data platform. The role involves driving the roadmap for data products and pipelines, leading a team of engineers, and ensuring compliance and ethical data use while collaborating with various stakeholders.

BroadcastingInformation TechnologyMedia and Entertainment

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

Qualification

Data EngineeringAWS GlueETL pipelinesAPI architectureCloud technologiesMachine learningData warehousingStakeholder managementLeadershipCommunicationCollaboration

Required

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)