Senior Data Architect

TekRek; Toronto; On-site; CAD 100,000 - 125,000; Full time

Job summary

An innovative consulting firm is seeking a skilled Data Architect to spearhead the development of machine learning architectures. In this exciting contract role, you will design and implement data environments that support ML pipelines, utilizing cutting-edge tools like MLflow and Databricks. Your expertise will be crucial in collaborating with data scientists to enhance workflows and ensure scalable ML infrastructure. This is a fantastic opportunity to make a significant impact in a dynamic environment while working with enterprise clients. If you are passionate about data-driven solutions and thrive in a consulting role, this position is perfect for you.

Qualifications

• 5+ years in a Data Architecting role with strong knowledge of Databricks and MLflow.
• Solid Python skills and experience with common ML libraries.

Responsibilities

• Design and implement data environments for ML pipelines using MLflow and Databricks.
• Collaborate with data scientists to productionize notebooks and workflows.

Skills

Data Architecting

MLflow

Databricks

Python Programming

Cloud Platforms (Azure, AWS, GCP)

CI/CD Tools

DevOps Concepts

Tools

MLflow

Databricks

Azure

AWS

GCP

Job description

Direct message the job poster from TekRek

Co-Founder | Director - Data and Engineering Contract Recruitment at TekRek Ltd

We’re working with a consulting firm delivering data-driven solutions to enterprise clients. They’re seeking a contract Data Architect to support the development, deployment, and scaling of a machine learning architecture, with a focus on MLflow and Databricks tooling. Note, this is a contract engagement.

Key Responsibilities

• Design and implement data environments that can support ML pipelines using MLflow and Databricks
• Register, version, and promote models through the ML lifecycle
• Collaborate with data scientists to productionize notebooks and workflows
• Build reusable components for model testing, validation, and monitoring
• Support clients with scalable ML infrastructure best practices
• Define the structure and tooling required to log and analyze model behavior post-deployment

What You Bring

• 5+ years in a Data Architecting role
• Strong knowledge of Databricks, MLflow, and model registry workflow
• Solid Python programming skills and experience with common ML libraries
• Familiarity with cloud platforms (Azure, AWS, or GCP)
• Experience with CI/CD tools and DevOps concepts
• Prior experience in consulting or working across multiple client environments is a plus

Seniority level

• Mid-Senior level

Employment type

• Contract

Job function

• Information Technology

Industries

• Business Consulting and Services

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Location: Toronto, Ontario, Canada | Salary: CA$105.00 per hour | Posted: 3 weeks ago