Azure Databricks Architect

HRC Global Services - 24 Jobs

Toronto, ON

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Job Details:

Remote

Full-time

Experienced

Position: Azure Databricks Architect
Location: Toronto, ON (Hybrid – 4 days onsite)

Job Description

We are seeking an experienced Azure Databricks Architect to lead the adoption and integration of Databricks as our enterprise AI/ML platform. This role will establish scalable technical architecture, drive innovation, and collaborate with infrastructure and security teams to align with organizational standards.

The ideal candidate will enable self-service capabilities for data scientists and analysts, support global AI/ML model deployments, and ensure compliance with data sovereignty regulations. As a trusted consultant, you will influence leadership, introduce best practices, and help shape the organization's data and AI strategy.

Key Responsibilities

Architecture Leadership: Design, implement, and optimize secure, scalable Databricks AI/ML solutions.
Collaboration & Compliance: Partner with security and compliance teams to ensure regulatory alignment, including data sovereignty.
Data Integration: Architect robust data pipelines and integrations across internal and external sources.
Self-Service Enablement: Build frameworks and tools to empower data scientists with independent model development and deployment.
ModelOps Strategy: Define and execute ModelOps frameworks for lifecycle management, governance, and automation.
Performance & Governance: Optimize workflows and enforce data governance/security best practices.
Consulting & Innovation: Provide thought leadership, run POCs, and advise stakeholders on modern AI/ML practices.
Mentorship & Team Growth: Guide and upskill teams, promoting a culture of innovation and excellence.
Global Deployment: Support worldwide deployment of AI models in compliance with local data laws.

Qualifications

5+ years in enterprise data/AI solution architecture with Databricks, Spark, and major cloud platforms (Azure preferred).
Strong knowledge of lakehouse architectures, ETL/ELT, data governance, and security frameworks.
Proven experience building and scaling ModelOps strategies.
Excellent consulting, communication, and stakeholder management skills.
Bachelor's or Master's in Computer Science, Engineering, or related field (or equivalent experience).
Demonstrated success leading innovation and enterprise-scale technology adoption.

Preferred Attributes

Strong thought leadership with the ability to define and communicate technical roadmaps.
Passion for continuous learning and staying ahead of AI/ML industry trends.
Customer-centric mindset with focus on delivering measurable business outcomes.

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Frequently Asked Questions

Where is this Azure Databricks Architect role located and what is the work arrangement?

This role is based in Toronto, ON with a hybrid arrangement requiring 4 days onsite.

What would I be responsible for as the Azure Databricks Architect?

You would lead architecture for secure, scalable Databricks AI/ML solutions, build data pipelines, enable self-service for data scientists, define ModelOps, and ensure governance, security, and regulatory alignment.

What kind of deployment scope is expected for AI models in this role?

You will support worldwide deployment of AI models in compliance with local data laws and lead global deployment efforts.

What qualifications are required for this position?

Candidates should have 5+ years in enterprise data/AI solution architecture with Databricks, Spark, and Azure (preferred), plus knowledge of lakehouse architectures, data governance, security frameworks, and ModelOps experience.

What opportunities for leadership and collaboration does this role offer?

The role involves architecture leadership, consulting with stakeholders, mentoring teams, and partnering with security and compliance to align with regulatory standards.

Is there an emphasis on self-service capabilities for analysts and data scientists?

Yes, the role includes building frameworks and tools to empower data scientists with independent model development and deployment.

What is the focus of the governance and security aspects in this role?

The role emphasizes optimizing workflows while enforcing data governance and security best practices and ensuring regulatory alignment including data sovereignty.