Data Platform Engineer (Azure)

Five Guys

Alexandria (VA)

On-site

USD 120,000 - 190,000

Full time

21 hours ago

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Job summary

Five Guys is hiring a Data Platform Engineer (Azure) to build and operate the enterprise data platform. You will implement IaC, automate CI/CD, and manage Azure data services and Databricks. The role partners with Data Engineering, IT, Cybersecurity, and business stakeholders to deliver scalable analytics-ready infrastructure.

The ideal candidate has 5+ years in DevOps/SRE and deep Azure and Databricks experience, with a focus on secure, observable, and cost-conscious cloud platforms.

Qualifications

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
5+ years in DevOps, Platform Engineering, SRE, Cloud Infrastructure, and related disciplines.
3–5+ years hands-on with Microsoft Azure, Databricks, Azure Data Services and cloud infra management.

Responsibilities

Design, implement, and maintain IaC for Azure data environments.
Build and support highly available, secure Azure cloud environments.
Administer Databricks workspaces and govern platforms.

Skills

Microsoft Azure

Databricks

Terraform

Bicep / ARM Templates

CI/CD pipelines

Azure Data Factory

Azure Data Lake Storage Gen2

GitHub Actions

Azure Monitor

PowerShell / Python

Cloud Networking

Security & IAM

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field

Tools

Azure DevOps

GitHub Actions

Databricks

Terraform

Job description

Description

Job Details

The Data Platform Engineer (Azure) is responsible for building, automating, and operating the infrastructure that supports the organization’s enterprise data platform. This role ensures data pipelines, cloud environments, and platform services are reliable, scalable, secure, and observable across Microsoft Azure. The position focuses on Infrastructure as Code (IaC), DevOps, CI/CD automation, cloud operations, platform governance, FinOps, security, and Site Reliability Engineering (SRE) practices. The Data Platform Engineer partners closely with Data Engineering, IT Infrastructure, Cybersecurity, and Business stakeholders to deliver a stable and high-performing data platform that supports analytics, reporting, and enterprise data initiatives.

Essential Duties & Responsibilities

Cloud Infrastructure & Platform Engineering

Design, implement, and maintain Infrastructure as Code (IaC) for Azure-based data environments using Terraform, Bicep, and/or ARM Templates.
Build and support highly available, scalable, and secure Azure cloud environments.
Configure and maintain Azure networking components including:

Virtual Networks (VNETs)
Private Endpoints
Network Security Groups
Access Security Policies

CI/CD & Automation

Build and maintain CI/CD pipelines using Azure DevOps and/or GitHub Actions.
Automate deployment of:

Azure Data Factory
Databricks Notebooks
Data Pipelines
Infrastructure Components
Platform Services

Establish deployment standards and environment promotion processes across Development, QA, and Production environments.
Manage source control, versioning, branching strategies, and release processes.

Databricks Administration

Administer and govern Databricks workspaces.
Manage:

Cluster Provisioning
Cluster Policies
Cost Controls
Unity Catalog
Access Controls
Identity Management

Support data engineering teams by maintaining a reliable Databricks platform environment.

Data Storage & Platform Governance

Manage Azure Data Lake Storage Gen2 environments.
Configure:

Access Control Lists (ACLs)
Lifecycle Management Policies
Encryption Standards
Storage Optimization Policies

Ensure compliance with data governance and security requirements.

Monitoring, Reliability & Operations

Implement observability and monitoring strategies using:

Azure Monitor
Log Analytics
Alerting Tools
Operational Dashboards

Monitor platform performance and reliability.
Troubleshoot:

Infrastructure Failures
Performance Bottlenecks
Platform Incidents
Cloud Service Issues

Participate in incident response and root cause analysis activities.

Security & Compliance

Automate secrets and credential management using Azure Key Vault.
Support identity and access management initiatives.
Partner with Information Security teams to maintain compliance with governance and security standards.
Implement secure deployment and infrastructure management practices.

Cost Management & Optimization (FinOps)

Monitor Azure and Databricks cloud consumption costs.
Analyze usage trends and identify optimization opportunities.
Recommend cost-saving initiatives while maintaining platform performance and reliability.

Documentation & Operational Excellence