Description

You own the design, architecture, and implementation of scalable data workflows and pipelines using Dataiku.

This role is remote.

Responsibilities

• Lead architectural decisions and define best practices for scalable, maintainable data workflows in Dataiku.
• Collaborate with the team to review, challenge, and optimize pipeline design and implementation decisions.
• Provide strategic guidance on data wrangling, workflow orchestration, and platform integration within Dataiku.
• Ensure solutions align with enterprise data governance, security, and compliance standards.
• Document architectural decisions and promote knowledge sharing across the team.

Required Skills

• 5+ years in data architecture or engineering, with 12+ years total professional experience.
• Strong proficiency in Dataiku (DSS), designing production-grade data pipelines and workflows.
• Hands-on expertise with the Azure data ecosystem: Data Factory, Synapse, Azure SQL, and Data Lake.
• Solid understanding of ETL/ELT, data modeling, and SQL.
• Strong knowledge of Python and SQL scripting; experience with API integrations.
• Ability to evaluate multiple implementation approaches and recommend optimal solutions.
• Experience in enterprise environments, ideally in financial services.

Preferred Skills

• Exposure to data visualization and data engineering practices.
• Ability to mentor and act as a technical advisor to the Data Management team.

Key Skills

Education

Any Graduate