Jobs in Canada

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Added 19 hours ago
EC
Senior AI Engineer
E+E Consulting
Montreal, QC
- Full-time
Montreal, QC | Hybrid, 2–3 days per week onsite | Ayata.AI
Added 19 hours ago
ZG
Software Development Engineer in Test
ZEISS Group
Halifax, NS
- Full-time
Onsite Collaboration: As part of our lean R&D team, onsite work in our Halifax office during regular hours is essential for collaborative success.
Added 19 hours ago
L
Principal AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
Added 19 hours ago
L
Principal Applied AI/ML Scientist
lululemon
Vancouver, BC
- Full-time
Expert ‑ level experience with modern ML tools and ecosystems (e.g., Python, PyTorch , cloud ML platforms, distributed training/inference systems, and scalable data pipelines)
Added 20 hours ago
P
Data Scientist
Procom
Toronto, ON
- Contract
This position is hybrid with 4 days per week in the office.
Added 20 hours ago
A
RQ11580 – AI/ML Engineer (LLM, Python, Databricks) | Ontario Government | Onsite Toronto
Amyantek
Toronto, ON
- Contract
Job Title: RQ11580 - Senior Software Developer
Added 20 hours ago
GT
Data Analyst - Marketing/Communications/Product Analytics
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $45 to $50 CAD / hour
- Contract
Data Analyst Python - Marketing/Communications/Product analytics
Added 21 hours ago
GS
PL/SQL Developer
Gala Solutions
Montreal, QC
- Contract
Location: Montreal, QC - 3 days a week onsite.
Added 21 hours ago
VT
Hardware Test and Verification Engineer
VANJOBS Technical Recruiters
Vancouver, BC
- Full-time
A full-time, onsite role, you must live within reasonable commuting distance to the Richmond office
Added 21 hours ago
IC
Data Scientist, SAS-to-Python Migration
Infotek Consulting Inc.
Toronto, ON
- $80 to $95 CAD / hour
- Contract
Actual Job Title: Data Scientist, SAS-to-Python Migration (Expert)
Added 21 hours ago
RT
Senior Software Developer
Russell Tobin
Toronto, ON
- $80 to $90 CAD / hour
- Contract
Familiarity with Python and libraries like pandas, scikit-learn, or PyTorch.
Added 21 hours ago
ZG
Software Development Engineer in Test
ZEISS Group
Halifax, NS
- Full-time
Onsite Collaboration: As part of our lean R&D team, onsite work in our Halifax office during regular hours is essential for collaborative success.
Added 22 hours ago
VS
Database Administrator
vTech Solution Canada
Toronto, ON
- Contract
Experience with SQL, PL/SQL, T-SQL, and shell scripting (Bash, PowerShell, Python) for automation, stored procedures, and triggers
Added 22 hours ago
IS
AI/ML Lead (Sagemaker)
Iris Software Inc.
Toronto, ON
- Contract
Work location: Toronto, ON / Halifax / Jersey City, NJ / Chicago, IL (Hybrid Onsite – 2 to 3 days a week office) – (any work location is fine)
Added 22 hours ago
A
Data & Analytics Solutions Architect || Toronto, ON - Onsite
AceStack
Toronto, ON
- Full-time
Strong hands-on expertise in Hadoop, HDFS, YARN, Hive, Apache Spark, PySpark, Kafka, SQL, Python, Java, and Scala.
Added 22 hours ago
SS
Junior Platform Integration
Soho Square Solutions
Montreal, QC
- Temporary
Location: Montreal, QC (Hybrid - 3 days/week onsite)
Added 1 day ago
S
Graph Data Scientist
Swoon
Toronto, ON
- Contract
Work arrangement: Hybrid, 3 days per week onsite
Added 1 day ago
BR
Robotics Software Developer – ROS2, State Estimation, Perception
BHF Robotics
Markham, ON
- Full-time
Development Skills: Exceptional C++ / Python programming skills with a strong grasp of modern software engineering practices (Git, CI/CD, unit testing, profiling).
Added 1 day ago
SM
RQ11673 – Report Developer – Junior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 1 day ago
SM
RQ11676 – Software Developer – ETL – Intermediate
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 1 day ago
SM
DevOps Engineer
S M Software Solutions Inc
Mississauga, ON
- Full-time
Python and Linux experience will be considered an added advantage.
Added 1 day ago
SM
RQ11676 – Software Developer – ETL – Intermediate
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 1 day ago
SM
RQ11673 – Report Developer – Junior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 1 day ago
SM
DevOps Engineer
S M Software Solutions Inc
Mississauga, ON
- Full-time
Python and Linux experience will be considered an added advantage.
Added 1 day ago
SM
RQ11673 – Report Developer – Junior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week

AceStack

Data & Analytics Solutions Architect || Toronto, ON - Onsite

Toronto, ON, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 9, 2026
Experience: 14+ years of experience in Enterprise Data Architecture, Hadoop Ecosystem, Big Data Engineering, and Data Platform Modernization.
Posting language: English
Posted: Nov 9, 2026

Original job description

Role: Data & Analytics Solutions Architect

Location: Toronto, ON

Work Model: Onsite

Job Type: Full Time

Job Description

We are seeking an experienced Data & Analytics Solutions Architect with strong expertise in Enterprise Data Architecture, Hadoop ecosystems, Big Data Engineering, and Data Platform Modernization. The ideal candidate will have 14+ years of experience designing and implementing scalable, secure, and high-performance data platforms that support enterprise analytics, reporting, and AI workloads.

The role requires hands-on knowledge of Hadoop, HDFS, YARN, Spark, PySpark, Hive, Kafka, and distributed data processing, combined with the ability to define end-to-end architecture, lead modernization initiatives, establish governance standards, and provide technical leadership across large-scale enterprise data programs. Experience in the BFSI domain and knowledge of regulatory, security, and compliance requirements are highly desirable.

Key Responsibilities

•Engage with business and technology stakeholders to understand business objectives, data platform requirements, and modernization goals.

•Define end-to-end architecture for Hadoop and Big Data platforms supporting analytics, reporting, and AI workloads.

•Design scalable, secure, and high-performance Hadoop ecosystems using HDFS, YARN, Spark, Kafka, Hive, and related technologies.

•Architect enterprise-scale data ingestion, batch processing, streaming, and Data Lake solutions.

•Design and optimize distributed data processing solutions using Spark, Hive, HBase, and MapReduce.

•Define data models, Data Lake zones, governance frameworks, metadata management, data lineage, and security standards.

•Lead Hadoop platform modernization, migration, and optimization initiatives to improve performance, scalability, and operational efficiency.

•Establish architecture standards, reusable frameworks, engineering best practices, and DataOps operating models.

•Create High-Level Designs (HLDs) and Low-Level Designs (LLDs) and guide implementation teams throughout the delivery lifecycle.

•Provide technical leadership across solution design, development, testing, migration, deployment, and production support.

•Conduct architecture reviews, identify technical risks and dependencies, and recommend mitigation strategies.

•Drive performance tuning, capacity planning, platform reliability, workload optimization, and infrastructure cost efficiency.

•Ensure appropriate security and governance controls, including access management, encryption, privacy, auditability, and regulatory compliance.

•Collaborate with data engineers, platform teams, architects, vendors, and client stakeholders to deliver enterprise data solutions.

•Support solutioning, RFP responses, effort estimation, technical presentations, and client workshops.

•Mentor architects and engineers and contribute to hiring, capability development, and knowledge sharing.

•Develop reusable accelerators, reference architectures, implementation frameworks, and technical best practices for Big Data platforms.

Required Skills & Experience

•14+ years of experience in Enterprise Data Architecture, Hadoop Ecosystem, Big Data Engineering, and Data Platform Modernization.

•Strong hands-on expertise in Hadoop, HDFS, YARN, Hive, Apache Spark, PySpark, Kafka, SQL, Python, Java, and Scala.

•Experience designing and implementing large-scale Big Data and Data Lake architectures for analytics, reporting, and AI workloads.

•Strong understanding of Hadoop platform architecture, including HDFS, YARN, high availability, cluster management, workload optimization, and scalability.

•Expertise in batch and distributed data processing using Spark, Hive, HBase, and MapReduce.

•Experience building data ingestion and streaming solutions using Kafka and Hadoop ecosystem tools.

•Strong knowledge of ETL/ELT, data integration, data quality, metadata management, data lineage, observability, and DataOps.

•Experience with Data Lakes, Data Warehousing, Enterprise Data Models, Master Data Management, and Data Governance frameworks.

•Understanding of security and governance controls, including Kerberos, Apache Ranger, encryption, privacy, auditability, compliance, and controlled data access.

•Proven experience in architecture definition, HLD/LLD creation, migration planning, technical governance, production readiness, and performance optimization.

•Experience supporting platform modernization, cloud adoption, solutioning, effort estimation, and client-facing technical discussions.

•Good understanding of BFSI regulatory, security, privacy, resilience, and audit requirements.

Preferred Qualifications

•Certifications in Hadoop, Spark, Cloud Data Engineering, Enterprise Architecture, Data Management, Security, or Big Data Platforms.

•Experience with enterprise-scale Hadoop modernization and cloud migration programs.

•Strong stakeholder management, technical communication, and problem-solving skills.

•Ability to mentor technical teams and establish reusable architecture and engineering practices.

Apply on LinkedIn About employer

More about this job

Responsibilities

Define end-to-end architecture for enterprise Hadoop and Big Data platforms supporting analytics, reporting, and AI, and lead platform modernization, migration, optimization, and governance initiatives. Provide technical leadership throughout delivery, establish architecture and engineering standards, ensure security and compliance, and collaborate with stakeholders while mentoring technical teams.

Requirements

Requires 14+ years of experience in enterprise data architecture, Hadoop ecosystems, Big Data engineering, and data platform modernization, with hands-on expertise in Hadoop, Spark, Kafka, programming languages, and distributed data processing. Candidates should have experience designing large-scale data platforms, governance and security controls, architecture documentation, modernization and cloud migration, and preferably BFSI regulatory requirements.

Skills

Enterprise Data Architecture
Hadoop
HDFS
YARN
Apache Spark
PySpark
Hive
Kafka
SQL
Python
Java
Scala
Data Lake Architecture
Data Governance
Data Platform Modernization
DataOps

Visa sponsorship

Not detected in the job text

Keywords

Enterprise Data Architecture
Hadoop
HDFS
YARN
Apache Spark
PySpark
Hive
Kafka
HBase
MapReduce
SQL
Python
Java
Scala
Big Data Engineering
Data Lakes
Data Warehousing
ETL/ELT
Data Integration
Data Quality
Metadata Management
Data Lineage
DataOps
Master Data Management
Data Governance
Kerberos
Apache Ranger
Cloud Migration
BFSI
High-Level Design (HLD)

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Jobs in Canada