Job Description:
- 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
Skills: Digital : Dataiku
Experience Required: 4-6