Senior Data Platform Engineer

$160,000 – $220,000 · Posted 1 day ago

San DiegoLast seen today

Summary

Design and build a modern enterprise data platform to support analytics, machine learning, and near real-time data processing. As the first in-house Senior Data Platform Engineer, you'll architect the foundational data warehouse/lakehouse, establish ingestion/transformation/storage layers, build low-latency ETL/ELT pipelines with CDC strategies, and define data governance and quality frameworks. You'll partner cross-functionally with Engineering, Product, Analytics, and Data Science teams to translate business needs into scalable platform solutions. Required: 8+ years in data warehousing or platform engineering, experience with modern cloud data platforms (Snowflake, Databricks, Azure Data Lake), SQL and Python proficiency, and expertise supporting both analytics and ML workloads.

Data Science DevOps / Infrastructure Azure Python SQL Azure Data Lake Storage Cdc Change Data Capture Data Governance Data Platform Architecture Data Quality Data Warehousing Databricks Dimensional Modeling ELT ETL Machine Learning Pipelines Microsoft Fabric Observability Partitioning Performance Tuning Query Optimization Semantic Layers Snowflake Snowflake Schema Star Schema