Director of Data Engineering

Required Skills & Experience
• \t10+ years of experience in Data Engineering with 5+ years of leadership experience managing Data Engineers, Technical Leads and third party team \n•\tStrong experience designing and operating modern cloud data platforms utilizing technologies AWS Kinesis, Kafka, Apache Flink, Flink, Lamndas,\n•\tDeep understanding of ETL/ELT pipelines, data modeling, orchestration, APIs, event-driven architectures, streaming data technologies, observability, data quality, and operational support\n•\tExperience building and managing batch and real-time data pipelines that support analytics, reporting, personalization, customer insights, and business intelligence initiatives\n•\tExperience integrating with Customer Data Platforms (CDPs) and identity solutions\n•\tExperience with streaming data technologies such as Apache Kafka, Apache Flink, AWS Kinesis, Pub/Sub, or comparable tools\n•\tExperience supporting entertainment, OTT, SVOD, AVOD, FAST, subscription-based including playback events, content engagement, subscriber funnels, churn and customer lifecycle \n•\tStrong knowledge of data governance, privacy, security, consent management, and compliance best practices related to data collection, storage, activation, and retention\n•\tProficiency with Python, Java, Scala, SQL, or other data-focused programming languages

Nice to Have Skills & Experience
• \tFamiliarity with analytics, visualization, and observability platforms such as Amplitude, Google Analytics, Conviva, Tableau, Looker, Power BI, Mux, or Youbora\n•\tExperience supporting personalization, recommendation engines, experimentation platforms, audience segmentation, marketing activation, or machine learning initiatives\n•\tExperience with data catalogs, lineage tools, metadata management, consent management platforms, and privacy-focused data ecosystems

Job Description

Insight Global is seeking a Director of Data Engineering to lead the strategy, architecture, and operational excellence of a modern data platform supporting a large scale streaming and subscription business. This individual will oversee Data Engineers, Analytics Engineers, and technical partners responsible for building scalable batch. On a day-to-day basis, they will partner closely with Product, Engineering, Marketing, Finance, Data Science, Privacy, and Security teams to define data roadmaps, establish governance standards, improve analytics instrumentation, and ensure data quality across the organization. They will drive modernization efforts by implementing cloud-native data solutions, improving observability and reliability, optimizing platform performance, and enhancing self-service analytics capabilities. The ideal candidate will bring a combination of strong technical leadership, data platform expertise, and experience building scalable data ecosystems that support customer growth, engagement, retention, and operational efficiency.