Dataiku Developer
- ClifyX, INC,
3 Days Ago
NA
W2
Remote
8-12 Years
Required Skills: Data Factory, Synapse, Azure SQL, Data Lake, Python, Dataiku, DSS
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.
· 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.
