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Senior, specialized data-platform role but strong Tier-1 brand and metro location increase applicant density.
Highly specialized data-platform and ML production skills limit transferability across industries.
Explicit 10+ years requirement plus mandatory large-scale data platform, cloud, and ML/production experience.
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Lead architecture and design of scalable data platform systems processing billions of events, including pipelines, data lakes, and serving infrastructure.
Develop and maintain the foundational infrastructure that supports AI/ML capabilities such as feature platforms, training data pipelines, and model-serving systems.
Set technical standards and best practices, influence technical strategy across teams, and mentor engineers within the Data and Audience Platform team.
10+ years of software engineering experience building and maintaining scalable software systems.
Extensive experience designing and deploying production-grade large-scale data platforms with strong programming skills in Python, Scala, or Java.
Hands-on expertise with distributed data processing technologies like Spark, Flink, Kafka and cloud data infrastructure (AWS/GCP, data lakes, warehouses).
Practical experience in enabling ML/AI in production including feature pipelines, model serving, or GenAI/LLM-based systems.
Experienced technical leader able to set direction, drive cross-team initiatives, and mentor engineers in complex data platform environments.
Comfortable working at the intersection of data engineering and applied AI/ML, partnering with data science teams to productionize models.
Experienced in high-volume, real-time or streaming data systems, ideally within media, streaming, or consumer platform domains.