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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