Senior Data Platform Engineer (AI)

TL;DR

Senior Data Platform Engineer (Data/AI): Building and optimizing a streaming-first, domain-oriented data platform with an accent on infrastructure, schema governance, and near real-time data availability. Focus on architecting scalable production systems, enabling self-serve data access, and integrating AI-driven workloads into a unified medallion architecture.

Location: Must be based in the United States or Canada

Salary: $152,000–$197,500 USD (US) or $133,000–$173,000 CAD (Canada)

Company

A leading cybersecurity company providing enterprise password management and unified access solutions for over 180,000 businesses.

What you will do

• Design and maintain a streaming-first data platform using Apache Kafka, Protobuf, and Apache Iceberg.
• Operate a hybrid Databricks and Snowflake architecture to support engineering, analytics, and AI/ML workloads.
• Build infrastructure and paved paths for governed, near real-time data flow from production systems.
• Champion platform standards, data quality, and infrastructure best practices across the organization.
• Collaborate cross-functionally to prioritize critical data platform needs and enable self-serve access.

Requirements

• Must be based in the United States or Canada
• 7+ years of experience in architecting and supporting scalable production systems.
• 5+ years of experience with Cloud Platforms (AWS or GCP) and Big Data query engines like Databricks or Snowflake.
• 5+ years of experience with distributed systems design, scaling, and high availability.
• 5+ years of experience with Infrastructure as Code (IaC) tools like Terraform or Ansible.
• Proficiency in Python, Go, or Scala/Java for building large-scale distributed systems.

Nice to have

• Experience with streaming technologies like Apache Kafka, Kinesis, or Flink.
• Knowledge of data modeling tools like dbt or orchestration tools like Dagster.
• Experience implementing secure data stores with least privilege access and encryption.
• Familiarity with monitoring tools such as Prometheus, Grafana, or Datadog.

Culture & Benefits

• Remote-first work environment with a culture of collaboration and transparency.
• Competitive health, dental, and retirement matching programs (401k/RRSP).
• Generous paid time off policy and paid volunteer days.
• RSU program for most employees.
• Commitment to leveraging AI and continuous learning in daily work.