Data & Analytics Solutions Architect - AI platforms, AWS, Databricks

Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!; Toronto; On-site; CAD 150,000 - 190,000; Full time

Job summary

Astra-North Infoteck Inc. is seeking a Sr. Data & Analytics Solutions Architect to lead the design of enterprise data, analytics, and AI platforms on AWS and Databricks from legacy to modern, secure, scalable production systems.

You will guide architecture direction, supervise implementations, and mentor teams while driving governance, performance, and cost optimization across cloud-native Lakehouse environments.

Qualifications

• 14+ years of enterprise data architecture and cloud modernization.
• Hands-on with AWS data services, Databricks, Delta Lake, Python, PySpark, and SQL.
• Strong knowledge of Databricks Data Intelligence Platform and serverless compute.
• Experience designing Lakehouse architectures and modern analytics solutions.
• Expertise in ETL/ELT, batch and streaming integration, data quality, and DataOps.
• Experience implementing IAM/RBAC, encryption, privacy, and governance controls.

Responsibilities

• Engage stakeholders to understand data, analytics, AI, cloud, and modernization requirements.
• Define end-to-end architecture for AWS and Databricks-based platforms.
• Design secure, scalable Lakehouse solutions using AWS services and Databricks.
• Architect data ingestion, batch/streaming, data engineering, and analytics solutions.
• Lead architecture reviews, risk assessments, and migration planning.
• Establish standards for governance, metadata, lineage, observability, and responsible AI.
• Mentor architects and engineers and develop reusable accelerators and reference architectures.

Skills

AWS data services

Databricks

Python

PySpark

SQL

Data governance

Education

Bachelor's degree in a relevant discipline

AWS/Databricks certifications preferred

Tools

Delta Lake

Unity Catalog

Databricks Genie

Lakehouse architecture

Job description

Data & Analytics Solutions Architect - AI platforms, AWS, Databricks

The Opportunity

We are hiring a senior Data & Analytics Solutions Architect to lead the design of enterprise data, analytics, and AI platforms using AWS and Databricks. This role combines hands-on architecture, cloud modernization, data engineering, governance, technical leadership, and solution consulting. You will define architecture direction, guide implementation teams, and help organizations move from legacy environments to secure, scalable, production-ready platforms.

What You Will Do

• Engage 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, 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 while addressing scalability, reliability, and compliance.
• Conduct architecture reviews, identify risks and dependencies, and guide teams on practical mitigation strategies.
• Drive performance, reliability, serverless-compute, and cost optimization across AWS and Databricks environments.
• Support solutioning, RFP responses, effort estimation, technical presentations, and workshops.
• Mentor architects and engineers and develop reusable accelerators, reference architectures, implementation frameworks, and best practices.

What You Bring

• 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, and SQL.
• Strong knowledge of the Databricks Data Intelligence Platform, including Databricks SQL, Workflows, Lakeflow, MLflow, serverless compute, and performance optimization.
• Experience designing Lakehouse architectures, enterprise data platforms, data products, warehouses, semantic layers, and modern analytics solutions.
• Expertise in ETL/ELT, batch and streaming integration, APIs, orchestration, data quality, metadata management, lineage, observability, and DataOps.
• Experience implementing IAM/RBAC, encryption, privacy, masking, retention, auditability, governance, and responsible AI controls.
• Experience supporting cloud transformation, architecture governance, RFPs, estimates, and client-facing solution discussions.
• Understanding of financial services regulatory, security, privacy, resilience, and audit requirements.
• Bachelor's degree in a relevant discipline. AWS, Databricks, data engineering, architecture, security, or AI/ML certifications are preferred.