Senior Databricks Platform Engineer (Azure)

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SeniorZdalnie·WarszawaFull-time

#462477·Dodano 3 dni temu·1

Źródło: P&G

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Tech Stack / Keywords

Azure Databricks Azure Python SQL Terraform REST APIsAzure DevOpsGitHub ActionsMicrosoft Entra IDAzure Monitor

Podsumowanie oferty

You will operate and evolve a data and AI platform built on Azure Databricks. The role focuses on evaluating and governing platform capabilities, enabling secure adoption at scale, and supporting users with reusable guidance and automation.

Wymagania

At least 4 years of hands-on Azure Databricks experience, including workspace administration, compute configuration, permissions, and cost management.
Proficiency in Python and SQL sufficient to analyze platform logs.
Practical experience with REST APIs, Terraform, Azure networking (Private Endpoints, vNETs), and Microsoft Entra ID.
Experience with CI/CD using Azure DevOps, GitHub Actions, or similar tools.
Strong problem-solving, documentation, and cross-functional communication skills.

Nice to have:

Deep understanding of the Databricks control plane, compute planes, model serving architecture, and Genie.
Experience governing Databricks at enterprise scale.
Experience building scalable self-service platforms for engineers (platform engineering).
Hands-on experience with AI coding agents and creating reusable context layers, such as skills.md, that encode engineering standards.
Familiarity with policy-as-code, automated compliance checks, and configuration drift detection.
Experience with Azure Monitor, Log Analytics, Databricks audit logs, and system tables.
Understanding of security risks, including sensitive-data exposure, prompt injection, and excessive tool permissions.
Relevant, current Databricks or Microsoft Azure certifications.

Obowiązki

Feature Evaluation:

Track the Databricks roadmap, evaluate new features, conduct proofs of concept, and assess security risks, cost implications, and governed scalability readiness.
Document recommendations and adoption requirements, and work with Engineers, Architects, and Product Owners to deploy capabilities at scale.

Adoption and AI-Assisted Engineering Enablement:

Develop reusable configurations, implementation patterns, and documentation.
Build, test, and maintain agent skills and instructions to help coding agents apply Databricks security, governance, testing, and performance best practices throughout the SDLC.

CI/CD and Automation:

Build pipelines for Databricks account configuration changes and safely perform those changes.
Automate administration and validation using version control, peer review, and controlled deployment practices.

Governed Self-Service Enablement:

Build self-service tools that let teams request and enable approved Databricks capabilities within predefined governance guardrails, for example through pull requests to Terraform repositories or APIs.

Security Evaluation:

Partner with Information Security to review capabilities before production adoption at scale.
Implement access controls and technical guardrails.
Promote reusable patterns and periodically review implementations to address exceptions, retire obsolete approaches, and reduce technical debt.

Data-Driven Governance:

Use SQL to analyze Databricks system tables.
Build dashboards and define metrics to track feature adoption, usage patterns, and costs.
Use insights to prioritize platform changes and measure their impact.

Platform Operations:

Manage Databricks account configuration, monitoring, reliability, and costs.
Troubleshoot complex platform issues, maintain operational runbooks, and advise platform users on best practices.

Benefity

Industry certifications, including ITIL, DevOps, and the Microsoft portfolio.
Corporate and functional training, mentoring programs, and ongoing coaching and mentoring.
Private health care.
Sport cards and an in-office fitness center.
P&G stock options and saving plans.
Lunch subsidy.
Regular salary increases and possible promotions.

Szkolenia wewnętrzne

Karta sportowa

Opieka zdrowotna

Udziały pracownicze

P&G

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