W2 Only :: St. Louis, MO (Hybrid, 4 days a week) :: Platform Engineer (Azure DevOps & Databricks Focus) (Only G.C / U.S.C)

Hybrid in St. Louis, MO, US • Posted 11 hours ago • Updated 11 hours ago
Contract W2
6 Months
75% Travel Required
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

⭐ Evaluating experience...

Job Details

Skills

  • Azure DevOps
  • GitHub Actions
  • Jenkins
  • Kubernetes
  • Docker
  • Terraform
  • Databricks
  • Azure Data Factory
  • Airflow
  • Azure Data Lake
  • monitoring
  • observability
  • Python
  • PowerShell
  • Bash

Summary

Platform Engineer (Azure DevOps & Databricks Focus) (Only G.C / U.S.C)

6+Months

St. Louis, MO (Hybrid, 4 days a week)

 

**Overview:**  
Seeking an experienced Cloud Platform Engineer to design, implement, and enhance a secure, scalable, and highly automated data platform built on Azure. This role emphasizes Infrastructure as Code, continuous deployment, robust data workflows, and cloud security/governance, specializing in Azure and Databricks ecosystems.

---

**Key Skills & Qualifications:**
- 6–9 years of experience in cloud infrastructure engineering, DevOps, or platform engineering.
- Direct hands-on expertise in Azure DevOps or a comparable CI/CD ecosystem (e.g., GitHub Actions, Jenkins).
- Strong proficiency managing containerized workloads with Kubernetes; Docker image creation and lifecycle management.
- Solid background in Infrastructure as Code (IaC) tools (Terraform, Bicep, or ARM templates); Helm chart development and deployment.
- Experience with large-scale data platforms: Azure Databricks (administration, security, orchestration), Azure Data Factory and/or Apache Airflow, Azure Data Lake or equivalent.
- Proven capabilities in cloud security, especially RBAC/IAM design and implementation on Azure and/or other major clouds; Azure Active Directory group-based access management.
- Familiarity with enterprise-grade secrets management using Azure Key Vault or similar solutions.
- Exposure to monitoring/observability platforms (preferably Dynatrace; other tools such as Azure Monitor, App Insights, Datadog also considered).
- Advanced scripting in at least one language: Python, PowerShell, Bash.
- Experience in data governance frameworks, including cataloging and permissions management (e.g., Databricks Unity Catalog or Azure Purview).
- Deep understanding of cloud networking, automation, and security controls.

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**Responsibilities:**
- Architect, automate, and support the end-to-end delivery of infrastructure and applications across multiple environments (dev/test/prod) using IaC and CI/CD pipelines.
- Deploy and manage containerized applications at scale, ensuring best practices for availability, cost, and security.
- Oversee Databricks platform administration, cluster and workspace management, and orchestrate robust production data pipelines.
- Implement and enforce least-privilege access models, secrets rotation, and audit-ready governance for all cloud resources.
- Design and tune monitoring systems for actionable alerting, fast incident response, and root cause analysis.
- Contribute to documentation, architecture patterns, and continuous improvement of DevOps and data engineering practices.
- Collaborate closely with Security, Data Engineering, and Operations teams to align on cloud architecture standards.

---

**Nice to Haves:**
- Experience with multi-cloud or hybrid cloud deployments.
- Familiarity with other data orchestration and ETL frameworks.
- Relevant certifications (e.g., Azure Solutions Architect, Certified Kubernetes Administrator, Terraform Associate).
- Background with financial, healthcare, or other regulated environments.

---

**Preferred Background:**
- Previous roles with leading cloud platform, SaaS, data engineering, or Fortune 500 organizations are highly valued.
- Proven track record in implementing enterprise-scale automation and governance for cloud platforms.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10111276
  • Position Id: 8978575
  • Posted 11 hours ago
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