Principal Data Architect

Role: Principal Azure Databricks Architect

Location: Toronto, ON(Hybrid)

Type: Contract

Experience: 12+ Years

Rate: CAD85/hr - CAD95/hr

Role Overview

We are seeking a highly experienced Principal Azure Databricks Architect to lead the design and implementation of scalable cloud-native data and integration solutions on the Azure platform. The ideal candidate will possess deep expertise in Azure Databricks, ADLS, Java/Scala-based API development, and event-driven architectures. This role requires strong technical leadership, architecture governance, and the ability to guide teams through complex enterprise data transformation initiatives.

Key Responsibilities

• Define and lead enterprise data architecture and cloud modernization strategies on Azure.
• Design and implement scalable data processing solutions using Azure Databricks.
• Architect and develop high-performance REST APIs using Java and Scala.
• Design event-driven and real-time data integration solutions leveraging Kafka and messaging platforms.
• Establish best practices for data engineering, application integration, security, scalability, and performance.
• Collaborate with cross-functional stakeholders to translate business requirements into technical solutions.
• Provide technical leadership, architecture reviews, mentoring, and guidance to engineering teams.
• Drive cloud adoption, platform optimization, and modernization initiatives.
• Ensure adherence to governance, compliance, and operational excellence standards.

Required Skills

• Strong experience with Azure Data Lake Storage (ADLS).
• Hands-on expertise in Azure Databricks and large-scale data processing.
• Proficiency in Java and Scala-based REST API development.
• Experience with Kafka, MQ, or similar messaging/event-streaming platforms.
• Strong understanding of distributed systems, data architecture, and cloud-native solutions.
• Experience designing enterprise-scale, high-availability applications and data platforms.

Preferred Skills

• Experience developing Python-based APIs.
• Strong Python scripting and automation capabilities.
• Experience leading and mentoring small to medium-sized technical teams.
• Knowledge of CI/CD, DevOps, and Infrastructure-as-Code practices.
• Experience with microservices architecture and cloud security best practices.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
• Proven experience in solution architecture, data engineering, and cloud platform design.
• Strong stakeholder management, communication, and leadership skills.
• Ability to drive technical strategy and influence architectural decisions across teams.

Nice-to-Have Experience

• Real-time analytics and streaming data platforms.
• Data governance, data quality, and data security frameworks.
• Multi-cloud or hybrid cloud environments.
• Agile/Scrum delivery methodologies.