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Dataiku architect

Talan

Toronto

Remote

CAD 90,000 - 130,000

Full time

Today
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Job summary

A leading consulting firm is seeking a Data Architect to design and implement data pipelines using Dataiku. The ideal candidate will collaborate with teams to ensure the scalability and performance of data infrastructure in a dynamic environment. Applicants should have over 5 years of experience in data architecture, proficiency in Dataiku, and a solid understanding of the Azure ecosystem. This role offers competitive benefits including a 401(k) plan and paid vacation.

Benefits

401(k) retirement plan with company matching
Up to 27 days paid vacation
Health, dental, and vision insurance

Qualifications

  • 5+ years in data architecture, engineering, or related roles.
  • Proven experience as a Data Architect in enterprise environments.
  • Strong proficiency in Dataiku with experience in production-grade data workflows.

Responsibilities

  • Review, challenge, and optimize pipeline design and decisions.
  • Lead architectural decisions and define best practices for data workflows.
  • Ensure solutions align with data governance and compliance standards.

Skills

Data Architecture
Data Engineering
Dataiku
ETL/ELT
SQL
Azure Data Ecosystem
Python
APIs

Tools

Dataiku (DSS)
Azure Data Factory
Synapse
Snowflake
Databricks
Job description
Overview

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

#LI-ASD

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)

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
  • Commuter/transit benefits

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

Additional Information

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

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