Description

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

Key Skills

Education

Any Graduate