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Yochana

Technical Lead (Microsoft Azure, Databricks AI, and Snowflake)

Hybrid

Brampton, Canada

Senior

Freelance

05-03-2026

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Skills

Leadership Python SQL Data Governance Data Engineering CI/CD DevOps Docker Kubernetes Monitoring Test Architecture Databases Azure Software Development Analytics Snowflake Large Language Models Databricks API Management Active Directory Microservices Microsoft Azure

Job Specifications

Position Name – Technical Lead

Type of hiring – Subcon/Fulltime

Location – Brampton, ON (100% onsite)

Job Description:

The Technical Lead will be responsible for driving the architecture, design, development, and delivery of modern cloud, data, and AI solutions. This role blends hands-on technical leadership with strategic oversight, guiding cross-functional engineering teams as they build scalable systems using Microsoft Azure, Databricks AI, and Snowflake Cortex. The Technical Lead will ensure adherence to enterprise security standards, streamline deployment processes, and provide architectural leadership across AI, integration, and cloud modernization initiatives.

Key Responsibilities

Cloud, Data & AI Architecture

Lead solution design and implementation using Microsoft Azure Foundry, Databricks AI, and Snowflake Cortex.
Architect and optimize data pipelines, AI workloads, and scalable cloud services.
Ensure solutions align with enterprise standards, performance requirements, and data governance policies.

Platform Engineering & DevOps

Oversee environment setup, migration, redevelopment, and automated deployment pipelines.
Implement CI/CD frameworks, IaC approaches, and repeatable deployment patterns.
Ensure consistency and reliability across development, testing, and production environments.

Identity, Security & Access Management

Integrate systems with Active Directory (AD) including:
Enterprise security model alignment
Access provisioning and deprovisioning
Lockout policy implementation
Least-privilege and zero-trust principles
Collaborate with cybersecurity teams to ensure compliance and secure-by-design architecture.

AI Engineering & Application Development

Lead development of AI-centric applications using:
Prompt Engineering & Context Engineering
Retrieval-Augmented Generation (RAG)
AI Orchestration Frameworks
LLMOps, AI Monitoring, and Evaluation (AI Evals)
Design and integrate scalable APIs leveraging Azure API Management.
Drive innovation by exploring new AI capabilities, large language models, and advanced analytics solutions.

Testing, Quality & Data Preparation

Oversee creation of mock and test data to support unit testing, integration testing, and end-to-end validation.
Define quality standards for AI model validation, data integrity, and application performance.

Containerization & Modern Deployment

Lead teams through container-based solution development using Docker, Kubernetes, and cloud-native orchestration tools.
Ensure optimized workload distribution, reliability, and resilience of deployed services.

Leadership & Collaboration

Provide technical leadership and mentorship to software engineers, cloud architects, and data teams.
Collaborate with product owners, business SMEs, and cross-functional teams to translate requirements into actionable solutions.
Communicate technical concepts clearly to both technical and non-technical stakeholders.

Required Skills & Qualifications

Technical Expertise

Strong hands-on experience with:
Azure Foundry
Databricks AI / ML
Snowflake Cortex & Snowflake ecosystem
Azure API Management
Proficiency in:
Cloud-native architecture
Data engineering & MLOps
RAG pipeline development
AI evaluation and monitoring
Containerization (Docker, Kubernetes)

Security & Identity

Extensive experience with Active Directory integration and enterprise identity management practices.

Software Development

Strong background in API development, integration patterns, and microservices.
Knowledge of Python, SQL, and modern cloud-native development frameworks.

Preferred Qualifications

Certifications such as:
Microsoft Certified: Azure Solutions Architect / Azure AI Engineer
Databricks Lakehouse Platform or AI Engineer
Snowflake SnowPro certifications
Experience in large enterprise cloud modernization programs.
Background in LLM fine‑tuning, vector databases, and knowledge retrieval systems.

About the Company

Yochana: Your Trusted Workforce Partner Across North America & Beyond For over 15 years, Yochana has been a leading talent acquisition firm, connecting businesses with top professionals across industries. Headquartered in Farmington Hills, Michigan, we specialize in temporary workforce solutions, permanent placements, contract-to-hire, and recruitment process outsourcing (RPO) across the USA, Canada, Mexico, and India. At Yochana, we go beyond traditional hiring agencies--our customized recruitment strategies and AI-driven ... Know more