Senior Microsoft Azure and Databricks Architect

Adastra

$100K — $130K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years in data, analytics, and cloud architecture for enterprise platforms.
  • Expertise in Microsoft Azure architecture focusing on security, networking, identity, governance, and cost management.
  • Advanced hands-on experience with Databricks Lakehouse solutions at an enterprise scale.
  • Strong foundation in modern data architecture, data engineering, and analytics platforms.
  • Experience leading architecture in complex, multi-team delivery environments.
  • Clear communication of architectural concepts to both technical and executive audiences.

Responsibilities

  • Provide pre-sales technical leadership in collaboration with sales and alliances teams.
  • Oversee the end-to-end architecture for Azure and Databricks platforms across various initiatives.
  • Design scalable, secure, and cost-effective data platforms inclusive of lakehouses and AI workloads.
  • Establish target-state architectures and technical standards based on best practices from Microsoft and Databricks.
  • Architect Azure environments focusing on landing zones, networking, security, identity, governance, and FinOps.
  • Lead workshops and assessments for client architecture and roadmap definitions.
  • Ensure alignment and implementation of solutions with Delivery Leads and Engineering teams.

Benefits

  • Hybrid/Remote working model depending on project requirements.
  • Permanent full-time employment opportunity.
Full Job Description
Overview

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.

Primary Location: Across Canada

Work Model: Hybrid / Remote (project-dependent)

Employment Type: Permanent Full-Time

Vacancy Status: New

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.
QUALIFICATIONS, SKILLS & EXPERIENCE
  • 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 HAVE
  • Microsoft Azure Solutions Architect certification
  • Databricks Professional or Expert-level certifications
  • Experience with Microsoft Fabric in Azure 6Databricks hybrid architectures
  • Industry domain experience such as Financial Services, Retail, Manufacturing, Energy, or Public Sector
  • Experience contributing to architecture standards, accelerators, or practice governance

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