Data Architect - REMOTE

Jobgether; Remote; CAD 100,000 - 130,000; Full time

Job summary

A recruitment service is seeking a Data Architect to design AI-ready data architectures in a dynamic environment. Responsibilities include implementing end-to-end data solutions, collaborating with engineering teams, and defining KPIs. Ideal candidates have over 7 years of experience in data engineering and strong knowledge of modern data platforms like Snowflake. This position offers competitive salary, performance bonuses, and a remote-friendly work environment, involving some travel for client engagements.

Benefits

Competitive base salary with performance-based bonuses

Autonomy to lead

Resources for professional growth

Remote-friendly environment

Commitment to ethical practices

Qualifications

• 7+ years in data engineering or analytics engineering with production pipelines.
• Strong knowledge of modern data platforms like Snowflake.
• Demonstrated client-facing experience and strong communication skills.

Responsibilities

• Design and implement end-to-end data architectures in Snowflake.
• Establish modeling standards and documentation for consistency across domains.
• Collaborate with engineering teams for data integration.

Skills

Data engineering

Analytics engineering

SQL performance tuning

Data integration (ELT/ETL)

Communication skills

Generative AI interest

Tools

Snowflake

Power BI

Tableau

Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Architect. In this role, you will have the opportunity to design modern, AI-ready data architectures across multiple client engagements, making a significant impact on how businesses leverage their data. You will work at the intersection of data modeling, semantic layer design, feature engineering, and AI enablement. Your expertise will help create systems that ensure data reliability and usability, thereby supporting business intelligence, machine learning, and AI initiatives. This position is ideal for individuals who thrive in dynamic environments and enjoy collaborative problem-solving.

Accountabilities

• Design and implement end-to-end data architectures in Snowflake.
• Define data models balancing flexibility for analysts with production performance.
• Collaborate with engineering teams for data integration from various sources.
• Establish modeling standards and documentation for consistency across domains.
• Build or refine semantic layers for unified metric definitions across BI tools.
• Collaborate with business owners to define KPIs and monitor new metrics.
• Architect feature pipelines that support machine learning models.
• Collaborate to implement reusable feature stores for training and deployment.
• Support event-driven architectures linking predictive models with operational systems.
• Partner with AI teams to integrate data into generative workflows.

Requirements

• 7+ years in data engineering or analytics engineering with production pipelines.
• Proven success in stabilizing production data platforms.
• Strong knowledge of modern data platforms like Snowflake and transformation frameworks.
• Experience in data integration (ELT/ETL), APIs, and SQL performance tuning.
• Practical experience with data reliability and observability.
• Ability to operate effectively in ambiguous environments.
• Demonstrated client-facing experience and strong communication skills.
• Interest in Generative AI and Machine Learning is a plus.
• Familiarity with BI tools like Power BI/Tableau.
• Knowledge of security and governance practices.

Benefits

• Competitive base salary with performance-based bonuses.
• Autonomy to lead and make impactful decisions.
• Resources to succeed and opportunities for professional growth.
• Remote-friendly work environment with some travel for client activities.
• Commitment to ethical practices and responsible AI.

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.