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Platfrom Engineer III - Dataiku

Keypixel Software SolutionsCincinnati, OH🇺🇸United StatesPosted 21 Jul 2026

Why This Role Stands Out

This hybrid Platform Engineer III role offers a fantastic opportunity to build and govern enterprise-grade data platforms using Dataiku and a robust tech stack, fostering significant skills development in a collaborative environment. You'll thrive here if you're a mid-senior engineer with expertise in Dataiku, Python, SQL, Snowflake, and AWS, eager to contribute to innovative data solutions and advance your career. Apply now to join a forward-thinking company and make a real impact!

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Platform Engineer III - Dataiku

Introduction

This position is for a Platform Engineer III specializing in Dataiku. The ideal candidate will be responsible for building and governing enterprise-grade data platforms using Dataiku DSS, Python, SQL, Snowflake, AWS, DBT, Linux, REST APIs, and CI/CD. The role will involve hands-on work with Dataiku platform architecture, custom plugins, governance, automation, production deployments, and enterprise integrations.

Responsibilities

  • Build and maintain enterprise-grade data platforms using Dataiku DSS.
  • Utilize Python, SQL, and Snowflake for data processing and analysis.
  • Implement and manage data workflows on AWS.
  • Work with DBT for data transformation processes.
  • Manage Linux-based systems for data platform infrastructure.
  • Develop and maintain REST APIs for data integration.
  • Implement and maintain Continuous Integration/Continuous Delivery pipelines.
  • Collaborate with team members on platform architecture and design.
  • Ensure data governance and security best practices are followed.
  • Provide support for production deployments and troubleshooting.

Requirements

Required Skills

  • Expertise in Dataiku DSS.
  • Proficiency in Python for data manipulation and automation.
  • Strong SQL skills for data querying and analysis.
  • Experience with Snowflake Schema for data modeling.
  • Knowledge of Amazon Web Services (AWS) for cloud-based data solutions.
  • Experience with Linux operating systems for data platform infrastructure.
  • Ability to develop and maintain REST APIs for data integration.
  • Experience with Continuous Integration/Continuous Delivery (CI/CD) pipelines.

Preferred Skills

  • Experience with DBT for data transformation processes.
  • Previous experience in recruiting and building data engineering teams.

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