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Skills
Application Programming Interface (API)unmatched
Architectural Servicesunmatched
Best Practicesunmatched
Communication Skillsunmatched
Data Lakeunmatched
Data Managementunmatched
Data Modelingunmatched
Data Visualizationunmatched
DataArchitect Data Modeling Toolunmatched
Database Extract Transform and Load (ETL)unmatched
Ecosystemsunmatched
Enterprise Architectureunmatched
Financial Servicesunmatched
Information/Data Security (InfoSec)unmatched
Mentoringunmatched
Microsoft Windows Azureunmatched
Problem Solving Skillsunmatched
Python Programming/Scripting Languageunmatched
Regulatory Complianceunmatched
SQL (Structured Query Language)unmatched
Scripting (Scripting Languages)unmatched
Description
Role Name: Dataiku Engineer
Job Location: Stamford, CT/Remote
Job Type: Long Term Contract
Mandatory Skill: Dataiku Engineering experience
ROLE DESCRIPTION:
- 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
Qualifications:
- 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