Databricks Architect (Cloud, Data & AI)

KData Inc.; Brampton; On-site; CAD 130,000 - 190,000; Full time

Job summary

KData Inc. is seeking an experienced Databricks Architect to lead the vision, design, and implementation of enterprise Databricks Lakehouse architectures across multi-cloud and hybrid environments in Canada.

You will advise executive leadership, drive pre-sales, and guide hands-on architecture for data and GenAI platforms. The ideal candidate has 12+ years of tech experience, with deep Databricks, multi-cloud, TOGAF governance, data virtualization, and modernization initiatives, plus strong

Qualifications

• 12+ years of technology experience in Enterprise Infrastructure, Data Engineering, Multi-Cloud Architecture, and AI Strategy.
• Databricks Lakehouse, Delta Lake, Spark, Unity Catalog, and AI/ML integrations hands-on.
• Experience in guiding enterprise modernization and cloud migrations.

Responsibilities

• Lead architectural design and hands-on oversight for Databricks Lakehouse, Delta Lake, and AI-ready platforms.
• Define enterprise infrastructure architectures across cloud networking, compute, storage, security, and compliance.
• Build multi-cloud data integration layers and dynamic pipelines for legacy to cloud data lakes.
• Establish governance models and TOGAF-based frameworks for enterprise platforms.
• Advise C-suite on cloud modernization, platform resiliency, cost optimization, and AI-enabled operations.

Skills

Enterprise infrastructure

Multi-cloud architecture

AI strategy

Education

Master’s or Bachelor’s degree in Computer Science

Tools

Databricks Lakehouse

Delta Lake

Unity Catalog

Spark

Jira

Bamboo

Git/GitStash

DB Visualizer

Job description

We are seeking aDatabricks Architectto lead the vision, design, and execution of large-scale, enterprise-grade Databricks Lakehouse architectures across multi-cloud and hybrid environments. In this role, you will advise executive leadership (CIOs/CTOs), drive pre-sales and technical solution design, and lead hands-on architecture for modern data and GenAI platforms.

The ideal candidate brings 12+ years of technology experience, combining deep technical expertise in Databricks, multi-cloud strategy (AWS, Azure, GCP), TOGAF governance, data virtualization, and hands-on experience guiding enterprise modernization initiatives.

Key Responsibilities

• Lead architectural design and hands-on technical oversight forDatabricks Lakehouse, Delta Lake, streaming pipelines, and AI-ready platforms.
  
• Define enterprise infrastructure reference architectures spanning cloud networking, compute, storage, security, observability, platform resiliency, disaster recovery, and compliance.
  
• Build end-to-end multi-cloud data integration layers and dynamic pipelines connecting legacy systems, cloud data lakes, and modern AI/ML frameworks.
  
• Establish governance models, architecture guiding principles, and standard frameworks (e.g., TOGAF) for enterprise platforms.
  
• Drive data virtualization and semantic layer strategies to streamline business intelligence and self-service analytics.
  
• Serve as a trusted advisor to C-suite executives and CIOs on cloud modernization, data platform resiliency, cost optimization, and AI-enabled operational transformations.
  
• Partner with Sales and Account teams on pre-sales activities, RFP responses, solution design, and high-value deal shaping.
  
• Conduct discovery workshops, present technical blueprints (SAD, DDD), and defend technical solutions to enterprise clients.
  
• Architect solutions incorporating Generative AI, automated document parsing/reformatting pipelines, advanced analytics, and machine learning models within the Databricks ecosystem.
  
• Oversee migrations from legacy databases/Big Data infrastructure (Hadoop, Oracle, Cloudera, Netezza) to modern cloud-native Lakehouses (AWS, Azure, GCP) using structured acceleration frameworks (e.g., AWS MAP).
  
• Establish robust security controls, encryption protocols, enterprise authentication mechanisms (Unity Catalog, Kerberos), and performance tuning for high-throughput environments.
  

Requirements

Required Qualifications & Experience

• Experience:12+ years of technology experience in Enterprise Infrastructure, Data Engineering, Multi-Cloud Architecture, and AI Strategy.
  
• Databricks Expertise:Strong hands-on architectural experience with Databricks Lakehouse, Delta Lake, Spark, Unity Catalog, and AI/ML integrations.
  
• Multi-Cloud Expertise:Proven track record architecting and deploying solutions across AWS, Azure, and GCP platforms.
  
• Legacy Modernization:Solid background transitioning traditional database/Hadoop environments (Oracle RAC/ASM, Cloudera/Hortonworks, Netezza, HBase) into cloud-native architectures.
  
• Domain Exposure:Architecture experience supporting industries such asHealthcare, Insurance & Risk, Banking & Finance, Media, Retail, or Life Sciences.
  

Technical Stack & Skills

• Observability, Operations & Tools:Grafana, SumoLogic, Git/GitStash, Jira, Bamboo, DB Visualizer.
  
• Languages & Scripting:Python, SQL, PL/SQL, Unix Shell Scripting, Perl Scripting.
  

Education

• Master’s or Bachelor’s degree in Business Administration, Computer Science, Software Engineering, or a related technical discipline.