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Senior Data Platform Engineer

5 days, 9 hours ago
Canada
Full-time
Lead
Data Engineer
Software Development
Agile API Gateway AWS CI/CD CloudFormation Databricks Datadog EC2 GitHub GitLab Microservices Python Serverless SQL Terraform
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Samsara

Samsara

Samsara pioneers the Connected Operations Cloud, offering AI safety programs, real-time visibility, and integrations for industries to enhance efficiency, safety, and sustainability globally.

IT Services
1K-5K
Founded 2015
View All Jobs 98

Description

  • Administer and monitor Databricks workspaces and the underlying AWS infrastructure.
  • Build platform administration tools to manage, monitor, troubleshoot, and secure Databricks resources.
  • Serve as the primary Databricks subject matter expert for internal teams.
  • Collaborate with data engineers, analysts, and data scientists to operationalize and optimize workflows and data pipelines.
  • Oversee the data engineering development ecosystem, including developer tooling, CI/CD pipelines, and monitoring frameworks.
  • Own the implementation and management of infrastructure as code and CI/CD automation for Databricks and AWS resources.
  • Ensure security, high availability, disaster recovery, and compliance across data services.
  • Apply DevOps best practices such as automated testing, deployment, observability, and monitoring.
  • Work with internal stakeholders to understand data needs and design scalable solutions.
  • Lead rapid prototyping and proof-of-concepts to evaluate performance, cost, security, scalability, and observability.
  • Provide mentorship, technical guidance, training, and knowledge sharing across teams.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering, or a related discipline.
  • 10+ years of experience in Software Engineering, Platform Engineering, Data Engineering, DevOps, DataOps, or a similar technical role.
  • At least 2+ years of experience in a data infrastructure or platform-focused role.
  • Experience building, delivering, and administering large-scale production-grade data platforms and services.
  • Strong knowledge of Databricks administration, including Unity Catalog, cluster management, security, troubleshooting, root-cause analysis, and performance optimization.
  • Experience with AWS services and cloud infrastructure provisioning, management, monitoring, and security, including S3, IAM, RDS, Lambda, API Gateway, VPC, EC2, and ECS/EKS.
  • Strong knowledge of SQL and Python.
  • Hands-on experience designing and developing data pipelines and ETL routines from SaaS systems, APIs, and RDBMS sources.
  • Experience with change-data capture, incremental loading, and batch loading techniques.
  • Excellent problem-solving, communication, and stakeholder management skills.
  • Preferred: experience delivering and managing Databricks and AWS infrastructure for hundreds of users.
  • Preferred: experience as a technical lead.
  • Preferred: knowledge of DevOps tools and practices such as GitHub, GitLab, CI/CD systems, Terraform, Datadog, and CloudWatch.
  • Preferred: experience implementing data governance and security measures to ensure data integrity and compliance.

Benefits

  • Competitive total compensation package with base salary, bonus or variable pay, and RSU awards for eligible roles.
  • Annual base salary range of CAD $129,625 to $152,500.
  • Potential for additional RSU refresh grants, including above-market equity refresh awards for top performers.
  • Flexible working model with remote, hybrid, and in-person options depending on the role.
  • Health benefits for full-time employees.
  • Equal opportunity and inclusive workplace with reasonable accommodations available during the recruiting process.

Interested in this position?

Apply directly on the company website

Apply Now

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