Senior Data & Analytics Solutions Architect

Senior Data & Analytics Solutions Architect – AWS & Databricks

📍 Location: Toronto, Ontario, Canada

🏢 Work Model: Hybrid

💰 Salary: CAD $150,000–$170,000 per year

📅 Experience: 14+ years

About the Role

We are hiring a senior Data & Analytics Solutions Architect to lead the design and implementation of enterprise data, analytics, and AI platforms using AWS and Databricks.

This is a client-facing architecture role combining hands-on technical leadership, cloud modernization, data engineering, governance, and solution consulting.

You will define enterprise architecture direction, guide implementation teams, and help clients modernize legacy environments into secure, scalable, and production-ready data platforms.

Key Responsibilities

• Engage with business and technology stakeholders to understand data, analytics, AI, cloud, and modernization requirements.
• Define end-to-end architecture for AWS and Databricks-based data, analytics, and AI platforms.
• Design secure, scalable, and high-performance Lakehouse solutions using AWS services, Databricks, Delta Lake, and Unity Catalog.
• Architect data ingestion, integration, batch processing, streaming, data engineering, semantic, analytics, and AI solutions.
• Design AI-enabled analytics experiences using Databricks Genie, semantic models, natural-language analytics, and governed data access.
• Lead architecture definition, HLD/LLD preparation, non-functional assessments, migration planning, technical governance, and production readiness.
• Establish standards for security, governance, metadata, lineage, observability, responsible AI, and DataOps delivery.
• Lead data-platform modernization and cloud migration initiatives.
• Conduct architecture reviews, identify risks and dependencies, and guide teams on mitigation strategies.
• Drive performance, reliability, serverless-compute, and cost optimization across AWS and Databricks environments.
• Support solutioning, RFP responses, effort estimation, technical presentations, and client workshops.
• Mentor architects and engineers and develop reusable accelerators, reference architectures, implementation frameworks, and best practices.

Required Skills & Qualifications

• 14+ years of experience in enterprise data architecture, AWS data platforms, Databricks, data engineering, and cloud modernization.
• Hands-on expertise with:
• AWS Data Services
• Databricks
• Databricks Genie
• Unity Catalog
• Delta Lake
• Python
• PySpark
• SQL
• Strong knowledge of the Databricks Data Intelligence Platform, including:
• Databricks SQL
• Workflows
• Lakeflow
• MLflow
• Serverless Compute
• Performance Optimization
• Experience designing:
• Lakehouse architectures
• Enterprise data platforms
• Data products
• Data warehouses
• Semantic layers
• Modern analytics solutions
• Expertise in ETL/ELT, batch and streaming integration, APIs, orchestration, data quality, metadata management, lineage, observability, and DataOps.
• Experience implementing security and governance controls, including:
• IAM/RBAC
• Encryption
• Data Privacy and Masking
• Data Retention
• Auditability
• Responsible AI Controls
• Experience supporting cloud transformation, architecture governance, RFPs, effort estimates, and client-facing solution discussions.
• Understanding of BFSI regulatory, security, privacy, resilience, and audit requirements.
• Bachelor's degree in a relevant discipline.

Preferred Qualifications

• AWS certifications.
• Databricks certifications.
• Data Engineering or Data Architecture certifications.
• Security or AI/ML-related certifications.
• Experience delivering enterprise-scale cloud and data-platform modernization programs.

Key Technical Skills & Search Keywords

Data Architecture | AWS | Databricks | Databricks Genie | Unity Catalog | Delta Lake | Lakehouse Architecture | Data Intelligence Platform | Python | PySpark | SQL | Databricks SQL | Lakeflow | MLflow | ETL/ELT | Data Engineering | Data Warehousing | Data Products | Data Integration | Batch Processing | Streaming | Data Governance | DataOps | Cloud Modernization | AI/ML | BFSI

Ideal Candidate Profile

We are looking for a senior Data Architect who combines deep hands-on AWS and Databricks architecture expertise with enterprise data-platform modernization and client-facing solution leadership.

The ideal candidate should be capable of defining end-to-end architecture, guiding engineering teams, establishing governance standards, and presenting scalable technical solutions to enterprise clients.

How to Apply

Interested candidates can share their updated resumes highlighting their experience in AWS, Databricks, Lakehouse architecture, Unity Catalog, Delta Lake, Python, PySpark, SQL, enterprise data architecture, and cloud modernization.