Databricks Administration Job at Motion Recruitment, Houston, TX

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  • Motion Recruitment
  • Houston, TX

Job Description

MUST HAVE: DATABRICKS ADMINISTRATION EXPERIENCE

We are seeking an experienced Platform Engineer to lead the administration and governance of our Databricks environment .

In this role, you will be the technical owner of our shared Databricks platform, setting and enforcing standards that enable analytics and AI teams to build securely, efficiently, and at scale.

Location: Hybrid, Houston, TX 77079| Pay: $105/hr W2 | Duration: 9+ months (extensions possible)

Please Note: W2 ONLY - Per Client Requirement NO C2C, H1B, TN Visa, 1099, F1 – CPT & OPT

*Must be located/authorized to work in the USA without visa sponsorship or transfer now or in the future.

No C2C inquiries, please

If interested, please email your resume to grace.johnson@motionrecruitment.com

Essential Requirements: MUST HAVE TO BE CONSIDERED:

High-priority: 2–3 years of hands-on Databricks administration (workspaces, clusters, jobs, Unity Catalog, compute policies, platform configuration, and guardrails)

5+ years of data engineering or platform engineering experience

Expert knowledge of:

Unity Catalog (catalog/workspace management, lineage, permissions)

Delta Lake (architecture, schema enforcement, best practices)

Spark and distributed compute optimization

Implementing RBAC and ABAC for secure access

Proven experience managing cost controls and governance (usage monitoring, spend alerts, cost optimization, billing logs, dashboarding)

Strong Python/PySpark and SQL skills

Experience setting and enforcing platform standards for ingestion, orchestration pipelines, data quality, validation, and compliance

Hands-on experience with pipeline orchestration tools (DLT, Airflow, or Databricks Workflows)

Preferred:

Experience with large-scale enterprise data platforms (Azure, AWS, or GCP)

Experience with CI/CD tools (GitHub Actions, Azure DevOps)

Dashboarding for platform health, compliance, and cost

Exposure to high-stakes analytical environments (e.g., Trading & Supply)

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