Azure Databricks Architect

Bilinguallink; Saskatoon; On-site; CAD 120,000 - 180,000; Full time

Job summary

Bilinguallink seeks an experienced Azure Databricks Architect to lead design, implementation and scaling of our enterprise data and AI platform in Canada. You will define Lakehouse architecture, champion Unity Catalog governance, and drive performance tuning and cost optimization to deliver a robust, secure data ecosystem.

Collaborating with data engineering, cloud infrastructure, security, and business stakeholders, you will architect secure, scalable pipelines and ensure alignment with

Qualifications

• Experience designing and implementing Lakehouse architectures on Azure Databricks.
• Proficient with Unity Catalog for metadata, access controls, and lineage.
• Strong focus on performance tuning and cost optimization for large-scale data workloads.

Responsibilities

• Lead Lakehouse design and secure, scalable data pipelines for batch and streaming workloads.
• Implement Unity Catalog governance, RBAC/ABAC, RLS, and data masking.
• Optimize Spark and cluster configurations for cost efficiency while meeting SLAs.

Skills

Azure Databricks

Delta Lake

Unity Catalog

RBAC/ABAC

RLS

CLM

AQE

Z-ordering

Cost optimization

Spark tuning

Tools

Azure Data Factory

Azure Monitor

Azure Data Lake Storage Gen2

Job description

We are seeking an experienced and visionary Azure Databricks Architect to lead the design, implementation, and scaling of our enterprise data and AI platform. In this role, you will define the core architecture for our Lakehouse environment, champion governance standards using Databricks Unity Catalog, and spearhead end-to-end performance tuning and cost optimization initiatives. You will work closely with data engineering teams, cloud infrastructure teams, security officers, and business stakeholders to deliver a robust, secure, and high-performance data ecosystem.

Key Responsibilities

1. Lakehouse Architecture & Design

• Design and implement enterprise-grade Lakehouse architectures using Azure Databricks and Delta Lake, following Medallion Architecture (Bronze, Silver, Gold layers).
• Architect secure, scalable, and highly available cloud data pipelines supporting batch and real-time streaming workloads.
• Integrate Azure Databricks seamlessly with the broader Azure ecosystem (e.g., Azure Data Lake Storage Gen2, Azure Data Factory, Microsoft Entra ID, and Azure Monitor).

2. Data Governance & Security (Unity Catalog)

• Design, deploy, and manage Databricks Unity Catalog for centralized metadata management, data discovery, and lineage tracking across multi-workspace environments.
• Implement fine-grained access controls (RBAC/ABAC), row-level security (RLS), and column-level masking (CLM) to protect sensitive assets (PII/PHI).
• Establish auditing procedures, data sharing frameworks, and compliance guardrails using Unity Catalog audit logs.

3. Performance Tuning & Cost Optimization

• Drive Databricks and Spark optimization strategies, including managing shuffle partitions, resolving data skew, tuning cache, and applying Adaptive Query Execution (AQE).
• Implement layout strategies such as Z-ordering, data compaction (OPTIMIZE), and vacuum scheduling to curtail I/O overhead and boost query performance.
• Optimize cluster configurations, autoscaling parameters, spot instances, and serverless compute pools to maximize cost efficiency without compromising SLAs