Description

You will lead architectural decisions and provide strategic guidance on data wrangling, workflow orchestration, and platform integration within Dataiku. You will own the design of scalable, maintainable data workflows and ensure solutions align with enterprise data governance, security, and compliance standards.

Responsibilities

• Review, challenge, and optimize pipeline design and implementation decisions in collaboration with the team.
• Define best practices for scalable, maintainable data workflows in Dataiku.
• 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.

Required Skills

• 6+ 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).
• Strong knowledge of Python and SQL scripting; experience with API integrations.

Key Skills

Education

Any Graduate