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Tekgence Inc

Senior Databricks Data Platform Engineer

  • Canada

Contract

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Job details

Job type
Contract
Posting language
English
Posted

Original job description

We are looking for a Senior Databricks Data Platform Engineer with strong experience in Databricks platform administration, Unity Catalog, Terraform, and CI/CD automation. The candidate will be responsible for managing enterprise Databricks environments, platform security, governance, performance, and cost optimization.

Must-Have Skills:

  1. Strong Databricks Platform Administration – Workspaces, Unity Catalog, Cluster Policies, SQL Warehouses.
  2. Terraform and Databricks Asset Bundles (DABs).
  3. CI/CD – Azure DevOps or GitHub Actions.
  4. Python, SQL, PySpark, and Spark Performance Tuning.
  5. Delta Lake – OPTIMIZE, VACUUM, Z-Ordering, Liquid Clustering.
  6. Cloud – Azure (ADLS Gen2), AWS (S3), or GCP.
  7. Databricks FinOps – DBU Cost Optimization, Cluster Right-Sizing, Usage Monitoring.
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More about this job

Responsibilities

Manage enterprise Databricks environments, including platform security, governance, and performance. Optimize platform costs through DBU monitoring, cluster right-sizing, and usage monitoring.

Requirements

Requires strong experience administering Databricks platforms, including workspaces, Unity Catalog, cluster policies, and SQL warehouses, along with Terraform, Databricks Asset Bundles, and CI/CD automation. Candidates should also have Python, SQL, PySpark, Spark performance tuning, Delta Lake optimization, cloud platform experience, and Databricks FinOps expertise.

Skills

  • Unity Catalog
  • Terraform
  • Databricks Asset Bundles
  • CI/CD Automation
  • Azure DevOps
  • GitHub Actions
  • Python
  • SQL
  • PySpark
  • Spark Performance Tuning
  • Delta Lake
  • Cloud Platforms
  • Databricks FinOps
  • Cost Optimization
  • Platform Security and Governance

Visa sponsorship

Not detected in the job text

Categories

  • Technology
  • Data & Analytics
  • Software
  • Engineering

Keywords

  • Databricks
  • Workspaces
  • Unity Catalog
  • Cluster Policies
  • SQL Warehouses
  • Terraform
  • Databricks Asset Bundles
  • CI/CD
  • Azure DevOps
  • GitHub Actions
  • Python
  • SQL
  • PySpark
  • Spark Performance Tuning
  • Delta Lake
  • OPTIMIZE
  • VACUUM
  • Z-Ordering
  • Liquid Clustering
  • Azure
  • ADLS Gen2
  • AWS
  • S3
  • GCP
  • Databricks FinOps
  • DBU Cost Optimization
  • Cluster Right-Sizing
  • Usage Monitoring
  • Platform Security and Governance

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