Senior Data Platform Engineer

RAZR Marketing, Inc.

$100K — $130K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 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 for writing, optimizing, and debugging complex analytical queries
  • Experience designing medallion or multi-layer data architectures
  • Track record of leading technical design decisions and mentoring engineers

Responsibilities

  • Architect and maintain real-time and batch data pipelines utilizing Debezium, Kafka, Flink, and DeltaStream
  • Own the Snowflake data warehouse strategy including schema design and query performance
  • Design and implement infrastructure-as-code for the data platform using Pulumi
  • Build and maintain the reporting layer for business intelligence through Sigma
  • Define data quality standards and monitoring across the pipeline
  • Collaborate with product and engineering teams on scalable data models
  • Establish patterns for incremental processing and schema evolution

Benefits

  • Opportunity to lead end-to-end architecture of complex data platform
  • Significant autonomy in technical decision-making within the data domain
  • Collaboration with cross-functional teams including application engineers and analysts
  • Hands-on implementation alongside architectural guidance
  • Professional development through mentoring opportunities
Full Job Description
This job is onsite located in Vancouver, BC. Please do not apply unless you are within 45 miles from our office. Thank you!

Overview

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.

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


Required Experience
  • 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


Preferred Experience
  • 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)


About You
  • You'll operate with significant autonomy in technical decisions within the data platform domain
  • You'll partner closely with application engineers who produce the source data and analysts who consume it
  • You'll balance hands-on implementation with architectural guidance - this is not a purely advisory role


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