Platform Engineer

ManpowerGroup; Dallas (TX); On-site; USD 135,000 - 155,000; Full time

Job summary

ManpowerGroup in the United States is seeking a Data and Analytics Platform Engineer to build and manage modern cloud-based data platforms, focusing on security, scalability, and reliable DevOps practices. You will configure Azure infrastructure, Data Factory, Databricks, and CI/CD pipelines, applying IaC with Terraform/Bicep and PowerShell while driving cost efficiency.

This role demands strong Python/SQL skills, excellent communication, and the ability to lead across teams in a fast-paced,

Qualifications

• 5-7+ years Cloud Platform Engineering in an enterprise-level environment.
• Advanced proficiency with Python, SQL; IaC tools.
• 5+ years DevOps experience in Agile/Scrum setting.
• 5+ years leading end-to-end design and development of scalable services with monitoring & production support.
• Excellent communication skills across audiences.
• Experience in fast-paced, collaborative agile teams in product-oriented org.
• Security-first mindset with documentation, communication, and presentation skills.

Responsibilities

• Build, deploy, and configure Azure infrastructure including Data Factory, storage, key vaults, VNets, VMs, and automated deployments.
• Automate infrastructure deployment via IaC and CI/CD pipelines.
• Evaluate and automate scaling and capacity within Azure environment.
• Implement, setup, monitor, and maintain cloud-based Data & Analytics platforms such as Databricks and Snowflake; troubleshoot performance, connectivity, and security issues.
• Make recommendations and execute cost-saving strategies for Cloud services.
• Collaborate across teams with leadership mindset and balance priorities.
• Streamline development and operations via CI, CD, automated testing, and SRE practices.
• Drive resolution for outages and performance issues with quick, effective actions.
• Design and implement solutions using serverless, containers, and data lakes.

Skills

Python

SQL

DevOps

Communication

Leadership

Agile/Scrum

Education

Bachelor's in CS or related

Tools

Azure DevOps

Terraform

Bicep

PowerShell

Databricks

Snowflake

Data Factory

GitHub

Job description

The Data and Analytics Engineering - Platform team is critical to making our organization's data strategy successful. You will play a key role in building and managing modern, adaptive, data-driven, and secure platforms and processes to enable Data & Analytics Engineering. You should have strong fundamentals of Data/Software Engineering, DevOps, and hands-on experience with Azure Cloud services. You will work on cross-functional initiatives and projects.

Need to be within 100 miles of Dallas, TX OR Richmond, VA

Roles and Responsibilities:

• Build, deploy, and configure Azure infrastructure, including but not limited to Azure Data Factory, storage, key vaults, virtual networking, virtual machines, and automated deployments

• Automate infrastructure deployment through Infrastructure as Code and CI/CD pipelines

• Evaluate and automate the scaling and capacity requirements within Azure environment

• Implement, setup, configure, monitor, and maintain cloud based Data & Analytics platforms such as Databricks and Snowflake. Troubleshoot and resolve environment performance issues, connectivity issues, security issues

• Make recommendations and execute cost saving strategies for Cloud services

• Self-directed and able to balance the priorities of multiple teams, systems, and products with a leadership mindset

• Work collaboratively in teams and develop meaningful relationships to achieve common goals

• Streamline development and operation processes via continuous integration, deployment, automated testing while leveraging SRE principles

• Drive efficient resolution for system outages as well as performance and functional shortcomings. Engage in critical support situations and effectively, efficiently, and quickly drive successful resolution

• Design and implement solutions that lean on cloud services such as serverless computing, containers, and data lakes.

Minimum Qualifications:

• 5-7+ years Cloud Platform Engineering experience in an enterprise-level environment

• Advanced proficiency with Python, SQL, GitHub, Azure DevOps, Bicep/Terraform, PowerShell is required. Deep understanding and hands on experience with Infrastructure-as-Code, and configuration management automation tools is required

• 5+ years of DevOps experience with a clear understanding of related tools, structure, and processes working in an Agile/Scrum setting

• 5+ years leading the end-to-end design and development of scalable services to be consumed by the enterprise, including monitoring and production support

• Excellent communication skills, adapting to various audience types

• Experience on a fast-paced, highly collaborative agile team within a Product-oriented organization

• Effective problem-solving, analytical thinking, cloud-native and security-first mind set, documentation, communication, and presentation skills

• Ability to positively influence team norms, culture, and technical vision

Preferred Qualifications:

• Bachelor's in Computer Science or equivalent area

• Experience with cloud services such as Snowflake, Databricks, Synapse, SQL, CosmosDB, Data Factory, Event Hub, Functions, Batch, Key Vault, Managed Identity, Service Principal, Networking, Active Directory, Log Analytics, Monitoring

• Windows and Linux server/systems administration experience is highly desired

• Azure Administrator certification, Solution Architect, or Databricks Platform Administrator certification, Snowflake SnowPro certification is a strong plus

• Experience with Azure cost management and forecasting is desired

ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.