Senior DB Platform Engineer - PostgreSQL, MongoDB, Databricks

Skanai

Canada

On-site

CAD 120,000 - 170,000

Full time

14 days+

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Job summary

Skan AI in Canada seeks a Senior Database Administrator to own the health, performance, and reliability of large-scale data environments across PostgreSQL, MongoDB, and Databricks. This highly technical role focuses on platform engineering, monitoring, and cost-efficient operation.

The ideal candidate will configure and optimize databases, design HA/DR strategies, and collaborate with analytics and engineering teams to enable scalable, data-driven decisions at enterprise scale.

Qualifications

  • Senior-level depth in PostgreSQL, MongoDB, and Databricks.
  • Experience scaling data environments for very large data volumes.
  • Strong tuning of configuration, indexing, and query performance.
  • Experience with HA and disaster-recovery solutions for high-volume databases.
  • Monitoring, observability, and capacity planning in production.

Responsibilities

  • Provision, configure, and optimize PostgreSQL, MongoDB, and Databricks environments for large data volumes.
  • Design and implement monitoring, dashboards, and alerting to surface issues early.
  • Scale environments vertically and horizontally with autoscaling, sharding, and partitioning.
  • Manage Databricks clusters, workloads, and Delta Lake layouts for efficient processing.
  • Troubleshoot production data issues and participate in incident response and on-call rotations.
  • Plan capacity upgrades and routine maintenance with minimal disruption.

Skills

PostgreSQL
MongoDB
Databricks
SQL

Tools

Docker
Kubernetes
Delta Lake

Job description

Skan AI in Canada seeks a Senior Database Administrator to own the health, performance, and reliability of large-scale data environments across PostgreSQL, MongoDB, and Databricks. This highly technical role focuses on platform engineering, monitoring, and cost-efficient operation.

The ideal candidate will configure and optimize databases, design HA/DR strategies, and collaborate with analytics and engineering teams to enable scalable, data-driven decisions at enterprise scale.

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