Job Details:
• Role: Senior Databricks Architect
• Require Domain exp: Insurance Domain experience is good to have.
•

Location:
North York, ON, Canada
• Work Model: Hybrid
- 3 days in a week work from office is must, this is not initiate remote or complete remote role, find and share local candidates only who can commute easily.
• Onsite Requirement: Candidates must be available to work from the office from Day 1
•

Job Type
Subcontractor (Initial Short Term and it may extend on client demand).
• Rate: CAD 70/hr All Inclusive HST and All should be included in the rate. Birlasoft will not provide any relocation assistance or any travelling/ accommodation or neither any addition expenses apart from discussed/agreed rate. Mandatory Skills # Skill Requirement 1 Databricks Data Engineering Must have hands-on experience delivering at least one end-to-end Databricks implementation 2 Data Transformation & Pipeline Development Experience building and managing transformation pipelines in Databricks 3 AWS Cloud Platform Strong understanding of the AWS ecosystem; client environment is predominantly AWS 4 AWS Data Services Working knowledge of S3, Redshift, Lake Formation, etc. 5 Apache Spark / PySpark Strong data engineering expertise, preferably within Databricks 6 Strong Data Engineering Experience Practical implementation experience, not just theoretical or presentation-level exposure 7 Problem-Solving & Delivery Mindset Ability to work across technologies and drive solutions through successful delivery Key Technical

Experience:
We are looking for a Senior Databricks Architect with strong hands-on experience in:
• 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 Preferred

Experience:
• 15+ years of experience in Data & Analytics
• 5+ years of Databricks Architecture experience
• Experience with Databricks Unity Catalog, Delta Lake, Mosaic AI, Genie and Agent Bricks
• Experience in AI/GenAI, Lakehouse, Data Modernization and Advanced Analytics
• Solid consulting and stakeholder management experience
• AWS Solutions Architect certification is preferred 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 Please prioritize candidates who have strong hands-on Databricks + AWS experience and are comfortable working onsite 3 days per week from Day 1. Please share relevant profiles at the earliest.

📌 Senior Databricks Architect (Canada)
🏢 Xaxis Solutions
📍 Canada