Senior Data Platform Architect (Real-Time, ML)

Rivo Holdings, LLC.

San Diego (CA)

On-site

USD 160,000 - 220,000

Full time

6 days ago
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Benefits offered by this job

Childcare & Family Support
Free coffee & snacks
Parking & MTS pass
401(k) with employer matching
Comprehensive health coverage
Generous time off

Job summary

RIVO Holdings, LLC is seeking a Senior Data Platform Engineer to architect and build a modern data platform powering analytics, ML, and real-time processing.

You will own platform strategy, design scalable data warehouses or lakehouses, and guide cross-functional teams in Engineering, Product, Analytics, and Data Science to deliver trusted data products. This is an on-site role requiring hands-on leadership and deep technical expertise.

Qualifications

  • 8+ years in Data Warehousing or Data Platform Engineering.
  • Support analytics and data science workloads, including ML pipelines.
  • Design modern Data Warehouses or Data Lakes with governance.
  • Experience with CDC/incremental processing and ETL/ELT pipelines.

Responsibilities

  • Design and implement a modern data platform architecture (warehouse/lakehouse).
  • Develop target-state architecture for analytics, reporting, and data science.
  • Modernize legacy ETL-driven processes and ensure scalability.
  • Define ingestion, transformation, storage, and consumption layers.
  • Build CDC-based ingestion and near real-time pipelines.
  • Collaborate with cross-functional teams and mentor others.

Skills

Data Platform Architecture
Analytics & ML Platforms
Modern Data Architecture
Cloud Data Platforms
Data Engineering & SQL

Tools

Microsoft Fabric
Databricks
Snowflake
Azure Data Lake Storage

Job description

RIVO Holdings, LLC is seeking a Senior Data Platform Engineer to architect and build a modern data platform powering analytics, ML, and real-time processing.

You will own platform strategy, design scalable data warehouses or lakehouses, and guide cross-functional teams in Engineering, Product, Analytics, and Data Science to deliver trusted data products. This is an on-site role requiring hands-on leadership and deep technical expertise.

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