Data Architect

About Talan

With 7,000+ experts in 20 countries, Talan is a global consulting and tech group helping businesses innovate and grow through AI, Data, and Blockchain. Certified Great Place To Work, we’re aiming for €1B revenue by 2025.

At Talan, we believe in Positive Innovation— using technology to serve people and society.

Job Description

Location: NYC or Remote

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.

Key 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

At Talan, we invest in our employees' well-being and empower them with benefits, including:

• 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
• Company health, dental, and vision insurance plans + FSA
• Voluntary STD and LTD

All your information will be kept confidential according to EEO guidelines.