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J&M Group

Data & Analytics Solutions Architect

Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Oct 9, 2026

Original job description

We are hiring for a Data & Analytics Solutions Architect AWS & Databricks

This role focuses on designing enterprise data platforms, Lakehouse architectures, and AI-driven analytics solutions on AWS.

The ideal candidate has 14+ years of experience in data architecture, Databricks, data engineering, and cloud modernization.

What You Bring

14+ years of experience in Enterprise Data Architecture, AWS, Databricks, and Cloud Modernization
Strong expertise in AWS Data Services, Databricks Genie, Unity Catalog, Delta Lake, Python, PySpark, and SQL
Experience designing Lakehouse architectures and enterprise data platforms
Knowledge of Databricks SQL, Workflows, Lakeflow, MLflow, and performance optimization
Experience with ETL/ELT, batch and streaming pipelines, APIs, and DataOps
Knowledge of data governance, security, compliance, and responsible AI
Experience with HLD/LLD, migration planning, architecture reviews, and technical governance
Understanding of BFSI regulatory and compliance requirements
Bachelor's degree in Computer Science, Engineering, Information Systems, Data Management, or a related discipline

What You'll Do

Design end-to-end AWS and Databricks data and AI architectures
Build scalable Lakehouse, data ingestion, and analytics solutions
Develop AI-driven analytics using Databricks Genie and semantic models
Establish data governance, security, and observability standards
Lead cloud modernization, migration, and platform optimization
Drive architecture reviews, technical standards, and DataOps practices
Collaborate with engineering teams and stakeholders on solution delivery
Support technical presentations, effort estimation, and client workshops
Mentor engineers and develop reusable architecture frameworks

Nice to have

Certifications in AWS, Databricks, Data Engineering, Enterprise Architecture, Security, or AI/ML

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More about this job

Responsibilities

Design end-to-end AWS and Databricks data and AI architectures, including scalable Lakehouse platforms, ingestion pipelines, and analytics solutions. Lead governance, security, modernization, migration, optimization, and architecture standards while collaborating with stakeholders, supporting client engagements, and mentoring engineers.

Requirements

Requires 14+ years of experience in enterprise data architecture, AWS, Databricks, and cloud modernization, with strong expertise in AWS data services, Databricks tools, Python, PySpark, and SQL. Candidates should have experience with Lakehouse design, data pipelines, governance, security, compliance, architecture reviews, and BFSI requirements, plus a bachelor's degree in a related discipline.

Skills

Enterprise Data Architecture
AWS
Databricks
Cloud Modernization
AWS Data Services
Databricks Genie
Unity Catalog
Delta Lake
Python
PySpark
SQL
Lakehouse Architecture
ETL/ELT
Data Governance
DataOps
Machine Learning

Visa sponsorship

Not detected in the job text

Keywords

Enterprise Data Architecture
AWS
Databricks
Cloud Modernization
AWS Data Services
Databricks Genie
Unity Catalog
Delta Lake
Python
PySpark
SQL
Lakehouse Architecture
Databricks SQL
Workflows
Lakeflow
MLflow
ETL/ELT
Batch Pipelines
Streaming Pipelines
APIs
DataOps
Data Governance
Data Security
Responsible AI
BFSI
Migration Planning
Architecture Reviews
Performance Optimization
Data Engineering
Semantic Models

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