Posted 9 days ago
Azure Databricks Architect
@ Tredence Inc.
Canada
Overview
Tredence Inc. is hiring an Azure Databricks Architect to lead the design, implementation and scaling of its enterprise data and AI platform. The role covers Lakehouse architecture on Azure Databricks and Delta Lake, Unity Catalog governance and security, and Spark performance and cost optimization.
Responsibilities:
- Design enterprise Lakehouse architectures on Azure Databricks and Delta Lake
- Manage Unity Catalog governance, access controls and auditing
- Lead Spark performance tuning and cloud cost optimization
- Integrate Databricks with the Azure ecosystem
Requirements summary:
- Experience designing Azure Databricks and Delta Lake platforms
- Hands-on Unity Catalog and data governance experience
- Expertise in Spark optimization and cluster configuration
- Knowledge of Azure data services and security
Tools & skills
Source and dates
Source type not verified · apify-linkedin
- Employer posting date
- 2026-11-01
- First seen by our source
- 2026-11-10
- Source record updated
- 2026-11-10
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Hours per week | 40 (estimated) |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Tredence Inc.
| Field | Value |
|---|---|
| Open jobs on Jobsy | 1 |
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
Journal
Only you can see this. Kept on this device, and in your account when you sign in.