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Q1 Technologies, Inc.

Dataiku Developer

North America

June 23, 2026 at 6:42 AM

✨ AI summary

Location

  • United States Remote

Programming Languages

  • Python

Frameworks/Tools

  • Dataiku (DSS)
  • Azure Data Factory
  • Azure Synapse

Cloud Services

  • Azure

Databases

  • Azure SQL
  • Data Lake

Experience Level

  • 5+ years in data architecture, engineering, or related roles

Dataiku Developer

REMOTE

FTE


Salary Range- $80,000-$150,000 a year


  • Collaborate closely with the team to review, challenge, and optimize pipeline design and implementation decisions.
  • Lead architectural decisions and define best practices for scalable, maintainable data workflows in Dataiku.
  • Provide strategic guidance on data wrangling, workflow orchestration, and platform integration within Dataiku.
  • Ensure solutions align with enterprise data governance, security, and compliance standards.
  • Act as a technical advisor to the Data Management team, contributing to solution design and delivery.


Job Description

Must Have Technical/Functional Skills


· Collaborate closely with the team to review, challenge, and optimize pipeline design and implementation decisions.

· Lead architectural decisions and define best practices for scalable, maintainable data workflows in Dataiku.

· Provide strategic guidance on data wrangling, workflow orchestration, and platform integration within Dataiku.

· Ensure solutions align with enterprise data governance, security, and compliance standards.

· Act as a technical advisor to the Data Management team, contributing to solution design and delivery.

· Document architectural decisions and promote knowledge sharing across the team


Roles & Responsibilities


· 5+ years in data architecture, engineering, or related roles.

· Proven experience as a Data Architect in enterprise environments, ideally in financial services.

· Strong proficiency in Dataiku (DSS), with experience designing production-grade data pipelines and workflows.

· Solid understanding of ETL/ELT, data modeling, and SQL.

· Hands-on expertise with the Azure data ecosystem (Data Factory, Synapse, Azure SQL, Data Lake, etc.).

· Strong knowledge of Python and SQL scripting; experience with API integrations.

· Ability to evaluate multiple implementation approaches and recommend optimal solutions. · Exposure to data visualization and data engineering practices. · Excellent communication skills, with the ability to mentor.


Generic Managerial Skills, If any


· Creative thinking.

· Building and managing relationships.

· Emotional agility.

· Technology Business Requirements Definition, Analysis and Mapping.

· Adaptability.

· Learning Agility.