Talan
Overview
We are seeking a highly skilled Data Architect with strong expertise in designing and implementing data pipelines using Dataiku. The ideal candidate will play a key role in defining the data architecture, ensuring scalability, reliability, and performance of our client's data infrastructure, while collaborating with cross-functional teams to deliver business value from data. Location:
Remote Visa Sponsorship:
We offer sponsorship under specific treaty-based U.S. work visas, including TN and E-2 (for eligible Canadian, Mexican, and French citizens). We do not support or transfer other visa types (e.g., H-1B). Note: This description consolidates the core Data Architect role and removes unrelated or duplicate postings and extraneous content. 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. Preferred Qualifications
Previous experience in a Financial institution. Dataiku certification or advanced expertise in automation, APIs, and deployment. Experience with data migration or modernization projects. Familiarity with Snowflake or Databricks (nice to have, not required). Benefits
Competitive salary — The salary range for this role is US$90,000 - US$140,000 401(k) retirement plan with company matching 15 days of paid vacation per year at hire and up to 27 according to seniority (annual untaken vacation days are cashed out) 8 paid holidays + 5 sick days + 2 personal days per year Health, dental, and vision insurance plans with FSA Voluntary STD and LTD insurance Note: Other postings and non-relevant content were removed to maintain focus on the Data Architect role.
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We are seeking a highly skilled Data Architect with strong expertise in designing and implementing data pipelines using Dataiku. The ideal candidate will play a key role in defining the data architecture, ensuring scalability, reliability, and performance of our client's data infrastructure, while collaborating with cross-functional teams to deliver business value from data. Location:
Remote Visa Sponsorship:
We offer sponsorship under specific treaty-based U.S. work visas, including TN and E-2 (for eligible Canadian, Mexican, and French citizens). We do not support or transfer other visa types (e.g., H-1B). Note: This description consolidates the core Data Architect role and removes unrelated or duplicate postings and extraneous content. 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. Preferred Qualifications
Previous experience in a Financial institution. Dataiku certification or advanced expertise in automation, APIs, and deployment. Experience with data migration or modernization projects. Familiarity with Snowflake or Databricks (nice to have, not required). Benefits
Competitive salary — The salary range for this role is US$90,000 - US$140,000 401(k) retirement plan with company matching 15 days of paid vacation per year at hire and up to 27 according to seniority (annual untaken vacation days are cashed out) 8 paid holidays + 5 sick days + 2 personal days per year Health, dental, and vision insurance plans with FSA Voluntary STD and LTD insurance Note: Other postings and non-relevant content were removed to maintain focus on the Data Architect role.
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