Data Architect - REMOTE

Medium; Canada Creek; Hybrid; CAD 100,000 - 120,000; Full time

Job summary

A forward-thinking company is seeking an experienced Data Architect to design and implement modern data architectures in Snowflake. This role involves collaborating with engineering teams, ensuring data reliability, and supporting AI initiatives. The ideal candidate will have over 7 years in data engineering with a strong focus on production pipelines. This position offers a competitive salary, performance bonuses, and a remote-friendly environment with some travel for client activities.

Benefits

Competitive base salary

Performance-based bonuses

Opportunities for professional growth

Remote-friendly work environment

Qualifications

• 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.
• Practical experience with data reliability and observability.

Responsibilities

• Design and implement end-to-end data architectures in Snowflake.
• Collaborate with engineering teams for data integration from various sources.
• Define data models balancing flexibility for analysts with production performance.
• Architect feature pipelines that support machine learning models.

Skills

Data engineering

Analytics engineering

Snowflake

SQL performance tuning

Data integration (ELT/ETL)

APIs

Communication skills

Generative AI

Power BI/Tableau

Security and governance practices

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.