Senior Data Platform Engineer

RAZR Marketing, Inc. • Minnetonka, MN

6d • Onsite

About The Position

We're looking for a Senior Data Platform Engineer to lead the design, implementation, and evolution of our data platform infrastructure. You'll own the end-to-end architecture of our CDC-based ETL pipelines and reporting infrastructure, from change capture at the database level through to analyst-ready datasets and dashboards. This is a technical leadership role - you'll set direction for how data moves through our systems, define standards, and mentor the team on best practices.

Requirements

• 7+ years of experience in data engineering or data platform roles
• Deep experience with streaming architectures: Kafka, Flink, CDC patterns (Debezium or equivalent)
• Strong Snowflake expertise: dynamic tables, warehouse optimization, access control, cost management
• Production experience with infrastructure-as-code (Pulumi, Terraform, or CDK)
• SQL fluency — you can write, optimize, and debug complex analytical queries
• Experience designing medallion or multi-layer data architectures
• Track record of leading technical design decisions and mentoring engineers

Nice To Haves

• Experience with DeltaStream or similar managed stream processing platforms
• Familiarity with Sigma or modern BI tools that push compute to the warehouse
• Experience with PostgreSQL CDC pipelines specifically
• Background in financial services, loyalty/rewards, or payments domains
• Experience operating data platforms on AWS (RDS, Secrets Manager, ECS, Lambda)

Responsibilities

• Architect and maintain our real-time and batch data pipelines built on Debezium, Kafka, Flink, and DeltaStream
• Own the Snowflake data warehouse strategy including schema design, dynamic table definitions, medallion-architecture layering (bronze/silver/gold), and query performance
• Design and implement infrastructure-as-code for the data platform using Pulumi
• Build and maintain the reporting layer that powers business intelligence through Sigma
• Define data quality standards, monitoring, and alerting across the pipeline
• Collaborate with product and engineering teams to translate business requirements into scalable data models
• Establish patterns for incremental processing, late-arriving data, and schema evolution
• Evaluate and introduce new technologies as the platform evolves

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed