Role: Senior Databricks Architect

Location: North York, ON (5 days onsite)

Duration: 6+ month Contract

Role Overview:

The candidate will lead the architecture and implementation of enterprise-scale AWS Databricks data platforms, including Data Lakes, Data Warehouses and Lakehouse solutions supporting Analytics, AI and Machine Learning initiatives.

Key Responsibilities

- Design and implement secure, scalable and highly available cloud-based solutions on AWS.
- Lead the architecture, design and implementation of enterprise-scale data platforms leveraging Databricks on AWS.
- Define data architecture strategy, governance frameworks, release planning and platform roadmaps.
- Partner closely with customer stakeholders to drive data and technology modernization initiatives.
- Provide technical leadership, customer-facing communication and solution ownership from strategy through implementation.
- Implement Databricks Agent Bricks to enable domain-specific AI agents using enterprise data.
- Design and implement scalable Data Lake, Data Warehouse and Lakehouse architectures.
- Leverage Databricks Genie and AI/BI capabilities to enable natural-language analytics and self-service insights.
- Develop large-scale data engineering and analytics solutions using Databricks, AWS and PySpark.
- Integrate Amazon S3, AWS Lake Formation, AWS DevOps pipelines and Databricks workflows for end-to-end data and AI platform automation.
- Integrate structured, semi-structured and unstructured data sources into enterprise Data Lakes and Data Warehouses.
- Apply best practices in data modeling, data architecture, metadata management, data governance and data quality.




- Evaluate and communicate the advantages and trade-offs of different cloud, analytics and AI platforms.
- Translate business requirements into scalable AWS-based data and AI solutions.
- Define and implement AWS cloud governance, security, compliance and operational best practices.
- Identify opportunities to automate platform operations, deployments, monitoring and data engineering workflows.
- Lead architecture reviews, establish technical standards, mentor engineering teams and ensure successful delivery of enterprise-scale AWS Databricks programs.

Preferred Experience:

- 12+ years in Data & Analytics with 5+ years of Databricks Architecture experience
- Databricks Unity Catalog, Delta Lake, Mosaic AI, Genie and Agent Bricks
- AWS Solutions Architect certification
- AI/GenAI, Lakehouse, Data Modernization and Advanced Analytics experience
- Strong consulting and stakeholder management experience
- Databricks Data Engineering with at least one end-to-end Databricks implementation
- Data Transformation and Pipeline Development
- AWS Cloud Platform and AWS data services
- Amazon S3, Redshift, Lake Formation, etc.
- Apache Spark / PySpark
- Enterprise Data Engineering
- Data Lakes, Data Warehouses and Lakehouse architectures
- Problem-solving and end-to-end solution delivery

Job Type: Full time Pay: From $80.00 per hour

Experience

- Databricks Unity Catalog: 5 years (required)
- Databricks Architecture: 5 years (required)
- Data analytics: 10 years (required)
- AWS Cloud Platform: 5 years (required)
- Apache Spark / PySpark: 5 years (required)

Licence/Certification:
- AWS Solutions Architect certification (preferred)

Work Location: In person

📌 Senior Databricks Architect (North York)
🏢 I Tech Enterprise
📍 North York