Senior Data Platform Engineer
$160,000–$220,000 year
On-siteSan Diego, California, United States
Job Summary
Design and implement a modern enterprise data warehouse, lakehouse, or hybrid architecture to transform legacy database structures into a scalable platform supporting analytics, machine learning, and near real-time data processing. Develop low-latency ETL/ELT pipelines, CDC-based ingestion strategies, and scalable semantic layers while establishing data quality, testing, and observability frameworks. Partner with Engineering, Product, and Data Science teams to translate business needs into technical solutions, define ingestion and consumption layers, and serve as a trusted advisor on governance and platform strategy. This fully on-site role at RIVO requires 8+ years of experience in data warehousing and cloud technologies like Snowflake or Databricks, with a salary range of $160,000 to $220,000.
Required Qualifications
- 8+ years in Data Warehousing or Data Platform Engineering
- Experience with enterprise-scale data warehouses, lakehouses, analytics platforms
- Experience with dimensional modeling (Star Schema, Snowflake Schema, Fact Tables and Dimension Tables)
- Experience supporting both analytics and data science workloads
- Experience with low-latency and near real-time data environments
- Experience with ML pipelines
- Experience designing and implementing modern Data Warehouse or Data Lake
- Experience with data governance and data classification
- Experience designing and implementing solutions using Microsoft Fabric, Databricks, Snowflake, Azure Data Lake Storage, or similar modern cloud data technologies
- Experience building ETL/ELT pipelines
- Experience with CDC and incremental processing strategies
- Experience with enterprise-scale SQL and Python solutions
- Experience with query optimization, performance tuning, partitioning, indexing, data reconciliation, and recovery processes
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