Senior Microsoft Azure and Databricks Architect

Adastra Corporation•Markham, ON

1d•Hybrid

About The Position

We are seeking a Senior Microsoft Azure & Databricks Architect to provide technical and sales leadership and evangelism across complex, enterprise-scale data, analytics, and AI modernization initiatives. This role represents architecture across Microsoft Azure and Databricks platforms, shaping technical strategy, coordinating with delivery leadership, and acting as a trusted technical authority for both clients and internal teams. As a senior individual contributor, this role combines deep hands-on architecture expertise with platform governance, mentorship, and client advisory responsibilities.

Requirements

10+ years of experience in data, analytics, and cloud architecture roles supporting enterprise-scale platforms
Deep expertise in Microsoft Azure architecture including security, networking, identity, governance, and cost management
Advanced hands-on experience designing and delivering Databricks Lakehouse solutions at enterprise scale
Strong background in modern data architecture, data engineering, and analytics platforms
Proven experience leading architecture across multi-team, complex delivery environments
Ability to communicate architectural concepts clearly to technical and executive stakeholders

Nice To Haves

Microsoft Azure Solutions Architect certification
Databricks Professional or Expert-level certifications
Experience with Microsoft Fabric in Azure–Databricks hybrid architectures
Industry domain experience such as Financial Services, Retail, Manufacturing, Energy, or Public Sector
Experience contributing to architecture standards, accelerators, or practice governance

Responsibilities

Accountable for pre-sales technical leadership deeply partnering with the sales and alliances teams.
Own end-to-end architecture for enterprise Azure and Databricks platforms across multiple, concurrent initiatives
Lead design of scalable, secure, and cost-optimized data platforms including lakehouse, data warehouse, streaming, and AI workloads
Define target-state architectures, reference patterns, and technical standards aligned with Microsoft and Databricks best practices
Architect Azure environments including landing zones, networking, security, identity, governance, and FinOps
Design and govern Databricks Lakehouse architectures using Delta Lake, Unity Catalog, and medallion patterns
Lead client architecture workshops, technical assessments, and roadmap definition sessions
Partner with Delivery Leads and Engineering teams to ensure solutions are implemented as designed
Identify technical risks and provide mitigation strategies across the project lifecycle
Mentor Lead Architects, Architects, and Senior Engineers on architecture decisions and implementation patterns
Review and approve architecture designs, solution documents, and platform configurations for quality and compliance
Accountable to develop and present pre-sales materials, statements of work and assessment outcome artifacts.
Prepare collateral for customers and partners, including presentations, solution blueprints, consumption forecasts etc.