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Senior (10+ years) and specialized data-platform role at a well-known brand, but desirable metro location increases competition.
Role requires deep data platform, distributed processing, and MLOps experience, making cross-industry transfers harder.
Explicit 10+ years requirement plus mandatory large-scale data platform, cloud, and production ML experience increases filter strictness.
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Architect and design large-scale data platform systems including pipelines, data lakes, and serving infrastructure processing billions of events.
Build infrastructure foundations for AI and ML capabilities such as feature platforms, training data pipelines, and model-serving systems.
Lead technical strategy, set standards across data modeling, system design, and applied AI, while mentoring engineers and influencing cross-team initiatives.
10+ years of software engineering experience building scalable software systems.
Extensive experience designing and shipping production-grade, large-scale data platforms.
Proficient programming skills in Python, Scala, or Java and strong knowledge of distributed data processing frameworks like Spark, Flink, or Kafka.
Hands-on experience with cloud data infrastructure (AWS or GCP) including data lakes and warehouses, with practical experience enabling ML/AI in production environments.
Experienced technical leader capable of setting direction and driving cross-team initiatives in data engineering and applied AI.
Strong background in large-scale data infrastructure engineering supporting AI/ML workflows and model productionization.
Comfortable working in a high-volume, streaming or media/entertainment environment with a focus on scalable, reliable data platforms.