Tableau Platform Engineer

Description We are looking for an experienced AWS Platform Engineer SR to join a Contract position supporting a growing data science platform in Dublin, Ohio. This role focuses on building, maintaining, and improving cloud infrastructure that enables analytics, AI/ML, and data-driven product teams to work efficiently at scale. The ideal candidate will bring strong experience in platform engineering, automation, and secure environment management across AWS-based ecosystems.

Responsibilities:

• Maintain and enhance cloud infrastructure that supports data science, analytics, and machine learning workloads across the platform.
• Build and release new environments through automated delivery pipelines, enabling scalable and repeatable deployments for technical teams.
• Administer large, multi-environment AWS landscapes and prepare the platform to support expanding business and engineering needs.
• Establish and oversee image lifecycle practices to improve consistency, governance, and operational stability across hosted environments.
• Configure and manage AWS accounts dedicated to the data science ecosystem while applying appropriate access controls and platform standards.
• Use tools such as Azure DevOps and Terraform to automate provisioning, deployment, and ongoing infrastructure management.
• Develop scripts and lightweight applications in Python to streamline platform tasks, integration needs, and operational support.
• Support database and data access technologies including Athena, Oracle, MySQL, and PostgreSQL within cloud-based solutions.
• Partner with network, database, infrastructure, and architecture teams to resolve issues, strengthen security controls, and support upgrades, patching, root cause analysis, and on-call needs. Requirements
• Bachelor's degree in Computer Science or a related technical discipline.
• At least 5 years of experience supporting infrastructure for data science or advanced analytics environments.
• Minimum 5 years of hands-on work with AWS services used for Data Lake, AI/ML, and data platform solutions, including tools such as SageMaker, Glue, Lambda, and Athena.
• Strong experience with Kubernetes, Docker, Amazon Elastic Container Registry, and cloud-native platform operations.
• Proven background in CI/CD and infrastructure automation using tools such as Azure DevOps and Terraform.
• Working knowledge of security practices, vulnerability remediation, audit support, and cloud governance tools.
• Experience producing technical documentation, operational runbooks, and written implementation guidance.
• Familiarity with Python or shell scripting, along with database technologies such as Athena, Oracle, MySQL, or PostgreSQL; AWS, Terraform, or Kubernetes certifications are preferred.

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