

Jobs via Dice
Dataiku DSS Data Architect - Stamford, CT/Remote - 6 Months
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Dataiku Data Architect, lasting 6 months, with a pay rate of $65/hr C2C or $59/hr W2. Key skills include Dataiku, ETL, SQL, and Azure. Requires 5+ years in data architecture, preferably in financial services.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
520
-
🗓️ - Date
June 6, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Stamford, CT
-
🧠 - Skills detailed
#Scala #Data Architecture #Synapse #Security #Data Governance #Data Modeling #Compliance #API (Application Programming Interface) #Data Lake #Data Engineering #Dataiku #Data Pipeline #"ETL (Extract #Transform #Load)" #Visualization #Data Wrangling #Scripting #Azure SQL #Python #Data Management #Azure #SQL (Structured Query Language)
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Advent Global Solutions, Inc., is seeking the following. Apply via Dice today!
Job Title: Dataiku Data Architect
Location: Stamford, CT/ Remote (Onsite preferred)
Duration: 6 months
Implementation: TCS
Max Pay Rate: $65/hr C2C or $59/hr W2
Responsibilities:
• 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
Skills: Digital : Dataiku
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Advent Global Solutions, Inc., is seeking the following. Apply via Dice today!
Job Title: Dataiku Data Architect
Location: Stamford, CT/ Remote (Onsite preferred)
Duration: 6 months
Implementation: TCS
Max Pay Rate: $65/hr C2C or $59/hr W2
Responsibilities:
• 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
Skills: Digital : Dataiku






