Senior Data Platform Engineer

Company Description

**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're looking 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'll design 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'll play a key role in transforming a legacy database and data structure into a scalable, modern platform built for the future. 

If you're energized by ownership, attracted to complex challenges, and motivated by the opportunity to build something lasting, we'd love to hear from you! 

Job Description

What You'll Do 

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. 

Data Engineering & Platform Development 

• 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 collaboration and mentorships. 
• Serve as a trusted advisor on data architecture, governance, and platform strategy. 

Qualifications

Must Have Qualifications 

• Data Platform & Architecture Expertise: 8+ years in Data Warehousing or Data Platform Engineering, including enterprise-scale data warehouses, lakehouses, analytics platforms, dimensional modeling (Star Schema, Snowflake Schema, Fact Tables and Dimension Tables) 
• Analytics, Machine Learning & Data Science Platforms: Experience supporting both analytics and data science workloads, including low-latency and near real-time data environments and ML pipelines. 
• Modern Data Architecture: Experience designing and implementing modern Data Warehouse or Data Lake, along with data governance and data 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. 

Additional Information

Company Benefits 

• Childcare & Family Support: Receive up to $5,000 annually in childcare reimbursement to ease the balancing act of work and family & Exclusive access to comprehensive fertility treatment coverage to financially support your family-building journey
• Stay Fit for Free: Join our FREE weekly group workouts and keep your health and energy levels at their peak 
• Company Events & Social Hours: Enjoy regular happy hours and company-wide events to celebrate achievements and build community with fellow employees 
• Padres Tickets: Catch a Padres game with exclusive access to season long raffle drawings in the RIVO ticket section. Go Padres! 
• Daily Perks: Savor FREE coffee, energy drinks, and snacks – fueling your productivity and satisfaction! 
• Parking & Commute Made Easy: Say goodbye to commuting hassles and high gas prices – enjoy a company-paid parking or MTS pass 
• Dedication Incentives: Opportunity to earn more money with our perfect attendance incentive – your dedication and reliability deserve recognition 
• Generous Time Off: Recharge and live your best life with company paid holidays and PTO each year  
• Comprehensive Health Coverage: Benefit from medical, dental, and vision plans with a 70/30 cost share—because your well-being is our priority 
• Secure Your Future: Take advantage of our 401(k) plan with employer matching to invest in your future with confidence

We offer a comprehensive compensation and benefits package where you will be rewarded based on your performance and recognized for the value you bring to the business. A reasonable estimate of the salary range for this job is $160,000.00 to $220,000.00. Individual salaries within those ranges take into account the wide range of factors that are considered in making compensation decisions including but not limited to education; experience and training; licensure and certifications; knowledge and skill sets; and other business and organizational needs.

RIVO Holdings, LLC is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, disability, age (40 years old or older) and genetic information (including family medical history), past or present military or veteran status, or any other characteristic protected by applicable law.