Senior Data Platform Engineer

• Compensation: USD 160000 - USD 220000 - yearly

** This is a fully on-site role. Hybrid/remote work is not available at this time.

** We are unable to sponsor or take over sponsorship of an employment Visa at this time.

RIVO is seeking an experienced
Senior Data Platform Engineer
to help architect and build the modern data platform that will power our next phase of growth.

We'relooking for a builder. Someone who can assess where we are today, define where we need to be tomorrow, and help lead the journey.

As our first in-house
Senior Data Platform Engineer
,you'lldesign the foundation for analytics, machine learning, and near real-time data processing while helping shape the architecture, technologies, and engineering standards that support our long-term vision. Success in this role requires understanding the differences between platforms built for reporting and business intelligence versus those designed to support data science and machine learning workloads.

As both a strategic architect and hands-on engineer,you'llplay a key role in transforminga legacy database anddatastructureinto a scalable, modern platform built for the future.

Ifyou'reenergized by ownership, attracted to complex challenges, and motivated by the opportunity to build something lasting,we'dlove to hear from you!

Platform Architecture, Design, & Strategy

• Design and implement a modern enterprise data warehouse,lakehouse, or hybrid data platform architecture.
• Develop the target-state architecture for analytics, reporting, and data science.
• Establish the foundational architecture needed to support future scalability, low-latency performance, and real‑time data availability.
• Modernize legacy ETL-driven warehouse processes.
• Define ingestion, transformation, storage, and consumption layers across the platform.
• Design and implement CDC-based ingestion and incremental data processing strategies.
• Build low-latency ETL/ELT pipelines supporting near real‑time data availability.
• Design scalable semantic layers and consumption models across the platform.
• Establish data quality, testing, monitoring, and observability frameworks.

Data Warehouse & Analytics

• Design a scalable data warehouse to support real‑time enterprise reporting and analytics
• Develop data structures that balance the needs of business intelligence, analytics, and data science.
• Implement historical data retention and governance strategies.
• Enable trusted, self‑service data consumption across the organization.

Cross‑Functional Leadership

• Partner with Engineering, Product, Analytics, and Data Science teams to define data requirements and priorities.
• Translate business needs into scalable data platform solutions.
• Provide technical leadership through collaborationandmentorships.
• Serve as a trusted advisor on data architecture, governance, and platform strategy.

• Data Platform & Architecture Expertise:8+ years in Data Warehousing or Data Platform Engineering, including enterprise‑scale data warehouses,lake houses, analytics platforms, dimensional modeling(Star Schema, Snowflake Schema, Fact Tablesand Dimension Tables)
• Analytics, Machine Learning & Data Science Platforms:Experience supporting both analytics and data science workloads, including low‑latency and near real‑time dataenvironmentsandML pipelines.
• Modern Data Architecture:Experience designing and implementing modern Data Warehouseor Data Lake, along with data governanceanddata classification.
• Cloud Data Platforms:Experience designing and implementing solutions using Microsoft Fabric, Databricks, Snowflake, Azure Data Lake Storage, or similar modern cloud data technologies.
• Data Engineering, Integration & SQL:Experience building ETL/ELT pipelines, CDC and incremental processing strategies, enterprise‑scale SQL and Python solutions, query optimization, performance tuning, partitioning, indexing, data reconciliation, and recovery processes.

Company Benefits

• Optimal Work-Life Balance:Benefit from a schedule with no evening or weekend work – enjoy your weekends for relaxation and personal time
• Childcare & Family Support:Receive up to $5,000 annually…