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The Sherwin-Williams Company

Senior Data Platform Engineer

The Sherwin-Williams Company, Cleveland, Ohio, us, 44101

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Senior Data Platform Engineer The Senior Data Platform Engineer role is responsible for designing, building, problem‑solving, troubleshooting, and maintaining business intelligence platforms within the current technology environment. The role involves analyzing complex technical problems, developing appropriate solutions to maintain the overall integrity of the platform, including operating systems, hardware and software infrastructure that are critical to the company’s user populace and application environments. They collaborate with other IT professionals such as Data Analysis, Application, Architect, and Database Engineers to ensure that all components of the platform are working efficiently, securely, and resiliently. The Senior Data Platform Engineer uses their extensive knowledge of both traditional and modern platforms to ensure high performance and reliability of the company’s infrastructure, including both cloud and on‑premises systems, in support of DevOps efforts and general business and IT objectives.

Responsibilities

Maintain the platform hardware, software, and network requirements in alignment with business needs and organizational standards defined

Monitor system performance and troubleshoot issues as they arise to continuously improve platforms in alignment with application goals

Manage and configure DevOps tools (such as API Gateway, Terraform) to support processes as per organizational needs

Collaborate with DevOps engineering and production team to update, troubleshoot and maintain platforms and environments to bring new features and services into production

Identify, prioritize, implement and maintain automated and orchestrated fulfillment mechanisms to optimize delivery of key platform services

Coordinate the tasks of other teams that work within the target platform to ensure smooth operations

Identify and mitigate security threats to comply with a strict security compliance

Develop and implement security and resiliency policies, standards, and procedures to protect the infrastructure and ensure compliance with regulations

Produce high‑level design documentation where required

Conduct technical research regarding user requests for new/modified systems or problem resolution

Manage vendor relationships and discussions related to design docs, platform changes, and other modifications, as needed

Education Required

Bachelor's Degree in Computer Science or a related field. In lieu of a degree, at least 7 years of experience in the role of Platform Engineer or related position.

Preferred

Azure Solutions Architect, Certified Kubernetes Administrator (CKA), or AWS Certified DevOps Engineer preferred.

Skills and Experience

4-6+ years of experience in platform engineering and infrastructure components

Experience in automated interaction with physical, virtual, or cloud infrastructure

Experience in managing and maintaining cloud-based environments such as AWS, GCP, or Azure

Experience with monitoring and log management tools such as Nagios, Splunk, and ELK

Experience in developing and implementing backup and disaster recovery strategies

Excellent scripting experience in languages such as Python, PowerShell, and Bash

Experience with Infrastructure as Code (IaC) and configuration management tools such as Ansible, Chef, and Terraform

Technical Skills

Programming Languages

Cloud Technologies & Platforms

Continuous Integration and Continuous Deployment (CI/CD)

DevOps Methodology

Software Packaging and Deployment Procedures Operating Systems

Network Operations, Configuration, & Services Containerization

Monitoring and Logging

Integration Technology

Preferred

Experience with enterprise business intelligence and data platforms such as PowerBI, Tableau, Business Objects, MicroStrategy, Snowflake, and Fivetran.

Familiar with networking fundamentals such as load balancers, firewalls, application proxies, and security brokers.

Familiar with security fundamentals such as principle of least privilege, data encryption, data classification and tagging, and secrets management.

Working knowledge of RESTful development practices.

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