Design and architect enterprise-scale data platforms using

Databricks Lakehouse

architecture.

Lead data modernization initiatives including migration from legacy data warehouses to cloud-based platforms.

Define best practices for

data ingestion, transformation, storage, and analytics

using Databricks.

Implement and optimize

Apache Spark, Delta Lake, and Unity Catalog .

Ensure data security, governance, metadata management, and compliance standards are met.

Collaborate with cloud, data engineering, analytics, and business stakeholders to translate requirements into technical solutions.

Provide architectural guidance, code reviews, and technical leadership to delivery teams.

Support CI/CD pipelines, automation, and infrastructure-as-code for data platforms.

Troubleshoot performance, scalability,



and cost optimization issues.

Required Skills & Qualifications

8+ years of experience in

data engineering / data architecture / analytics platforms .

Solid hands-on experience with

Databricks

on

Azure, AWS, or GCP .

Expertise in

Apache Spark, PySpark, SQL , and data processing frameworks.

Experience with

Delta Lake , data lakes, and data warehousing concepts.

Strong understanding of

cloud architecture , networking, and security principles.

Knowledge of

data governance, data quality, lineage, and compliance

frameworks.

Excellent communication and stakeholder management skills.

📌 Databricks Architect (Winnipeg)
🏢 TechDoQuest
📍 Winnipeg