Data & Analytics Architect

Are you passionate about shaping the future of data and AI solutions? Join us as a Data & Analytics Architect and lead transformative projects that elevate enterprise data platforms to new heights. This is your chance to make a real impact by designing innovative, scalable, and secure data architectures that drive strategic decision-making and enable cutting-edge AI experiences.

Overview:
We’re seeking an experienced senior professional to lead the design and implementation of enterprise data, analytics, and AI platforms using AWS and Databricks. This hybrid role combines hands-on architecture, cloud modernization, data engineering, governance, and client-facing solution leadership. If you thrive on solving complex data challenges and guiding teams through impactful digital transformations, this is the role for you.

Start Date: ASAP 
Location: Toronto, ON -Hybrid 
Salary range: $150000-170000

Key Responsibilities:

• Collaborate with business and technology stakeholders to understand requirements related to data, analytics, AI, and cloud modernization.
• Architect end-to-end solutions on AWS and Databricks, including secure, scalable Lakehouse platforms featuring Delta Lake and Unity Catalog.
• Design data ingestion, integration, and AI-enabled analytics solutions incorporating streaming, batch processing, semantic models, and natural-language analytics.
• Lead the development of high-level and low-level architecture designs, assess non-functional aspects, and support migration planning and production readiness.
• Establish standards for security, governance, metadata management, observability, and responsible AI practices.
• Drive modernization initiatives, addressing scalability, reliability, and compliance across cloud environments.
• Conduct architecture reviews, identify risks, and guide mitigation strategies.
• Optimize performance, cost-efficiency, and serverless compute across AWS and Databricks platforms.
• Support solution proposals, client workshops, and deliver technical presentations.
• Mentor team members and develop reusable frameworks, accelerators, and reference architectures to ensure best practices.

Must-Have Qualifications:

• 14+ years in enterprise data architecture, AWS data platforms, Databricks, or cloud modernization.
• Hands-on experience with AWS data services, Databricks, Delta Lake, Python, PySpark, and SQL.
• Proven expertise designing Lakehouse architectures, enterprise data platforms, and modern analytical solutions.
• Deep understanding of ETL/ELT, streaming, APIs, data governance, and DataOps.
• Experience with security, privacy, IAM/RBAC, encryption, and responsible AI practices.
• Ability to support client-facing discussions, RFPs, and technical leadership.
• Bachelor's degree in a relevant discipline; certifications are preferred.

Nice-to-Have:

• Knowledge of BFSI regulatory and security standards.
• Experience with Databricks Genie, Workflow, MLflow, and performance optimization.