Databricks Architect
Job Description
Description
We are seeking a forward-thinking Databricks Architect to lead the adoption and integration of Databricks as our enterprise AI/ML platform. This individual will establish the technical architecture, drive innovation, and ensure seamless collaboration with internal infrastructure teams to align with organizational standards.
The opportunity:
· Hybrid: In office/remote
· Architecture Leadership: Design, implement, and optimize scalable, secure, and compliant Databricks-based AI/ML architectures that support advanced analytics, data engineering, and machine learning workloads.
· Collaboration & Compliance: Partner with internal infrastructure, security, and compliance teams to ensure all solutions meet organizational standards and regulatory requirements, including data sovereignty and global deployment needs.
· Data Integration: Architect and implement robust integrations with diverse internal and external data sources, enabling efficient data ingestion, transformation, and access for analytics and AI/ML workflows.
· Self-Service Enablement: Develop frameworks, tools, and documentation to enable data scientists and analysts to develop, train, and deploy models independently, fostering a culture of self-service and innovation.
· ModelOps Strategy: Develop and implement a comprehensive ModelOps strategy to manage model lifecycle, governance, versioning, and deployment at scale. Ensure seamless integration with existing DevOps and DataOps practices.
What you need:
· Proven Experience: 5+ years architecting and implementing enterprise-grade data and AI/ML solutions, preferably with Databricks, Apache Spark, and cloud platforms (AWS, Azure, GCP).
· Technical Expertise: Deep understanding of data Lakehouse architectures, ETL/ELT pipelines, data governance, and security best practices.
· ModelOps Strategy: Demonstrated experience in developing and implementing a ModelOps strategy, including model lifecycle management, versioning, governance, and deployment automation.
· Consulting & Communication: Strong consulting, stakeholder management, and communication skills, with a track record of influencing senior leadership and driving technology adoption.
· Innovation & Initiative: Demonstrated ability to drive innovation, introduce contemporary practices, and lead technology transformations.
· Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
Desirable Attributes:
· Thought Leadership: Ability to define and communicate architecture vision, roadmaps, and best practices to both technical and non-technical audiences.
· Continuous Improvement: Passion for learning, sharing knowledge, and staying ahead of industry trends in data and AI.
· Customer Focus: Commitment to delivering measurable business value and exceptional user experiences.
Seniority level
- Mid-Senior level
Employment type
- Contract
Job function
- Information Technology
Industries
- IT Services and IT Consulting
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Company
MethodHub
Location
Toronto
Country
Canada
Salary
150.000
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