Job Description
Role Overview
Reporting to the VP of Data and Machine Learning Platform, the Staff Platform Engineer, Data & ML is responsible for defining and scaling the unified platform that powers the full data and ML lifecycle at Mistplay from raw ingestion to real‑time model serving. What You’ll Do
Ingestion & Pipeline Infrastructure – design scalable, reliable ingestion systems for batch and streaming data sources, driving standards for schema evolution, data contracts and lineage, and optimizing compute and cost strategy across workloads. Data Warehouse & Lakehouse Architecture – architect the core analytical data platform, defining storage layer strategies, partitioning and access patterns, establishing standards for data modeling, performance and cost efficiency for analytical and ML consumers. Transformation & Orchestration Layer – lead design of scalable, maintainable transformation systems (dbt, Spark), defining orchestration and dependency standards, enforcing data qual...
Reporting to the VP of Data and Machine Learning Platform, the Staff Platform Engineer, Data & ML is responsible for defining and scaling the unified platform that powers the full data and ML lifecycle at Mistplay from raw ingestion to real‑time model serving. What You’ll Do
Ingestion & Pipeline Infrastructure – design scalable, reliable ingestion systems for batch and streaming data sources, driving standards for schema evolution, data contracts and lineage, and optimizing compute and cost strategy across workloads. Data Warehouse & Lakehouse Architecture – architect the core analytical data platform, defining storage layer strategies, partitioning and access patterns, establishing standards for data modeling, performance and cost efficiency for analytical and ML consumers. Transformation & Orchestration Layer – lead design of scalable, maintainable transformation systems (dbt, Spark), defining orchestration and dependency standards, enforcing data qual...
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