Cloud (Data) Solution Architect

HRB; Toronto; On-site; CAD 90,000 - 150,000; Full time

Job summary

An established industry player is on the lookout for a talented Cloud Solution Architect to join their innovative team. This role offers the opportunity to design and implement cutting-edge cloud solutions that leverage data to drive business success. You will collaborate with cross-functional teams to create robust data architectures and manage cloud infrastructure, ensuring efficiency and security. If you are passionate about cloud technologies and data management, this is a chance to make a significant impact in a dynamic environment. Join us and help shape the future of data-driven decision-making!

Qualifications

• 5+ years of experience in cloud architecture and data management roles.
• Proficiency in cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Strong understanding of data architecture principles and best practices.

Responsibilities

• Design end-to-end cloud solutions that align with business objectives.
• Develop comprehensive data architecture strategies for data storage and analytics.
• Implement and manage cloud infrastructure components for optimal performance.

Skills

Cloud Architecture

Data Management

Data Analytics

AWS

Azure

Google Cloud Platform

Python

Java

Scala

Problem Solving

Education

Bachelor's degree in Computer Science

Master's degree in Computer Science

Tools

AWS Glue

Azure Data Factory

Google BigQuery

Docker

Kubernetes

Hadoop

Spark

Kafka

Job description

Cloud Solution Architect

Job Description:

Position Overview: We are seeking a highly skilled Cloud Solution Architect with a strong background in data management and analytics to join our dynamic team. The ideal candidate will be responsible for designing and implementing scalable, reliable, and secure cloud solutions that leverage data effectively to meet our business needs. This role requires a deep understanding of cloud technologies, data architecture, and the ability to translate business requirements into technical solutions.

Key Responsibilities:

1. Cloud Solution Design: Design end-to-end cloud solutions that align with business objectives, leveraging cloud-native services and architectures. Collaborate with cross-functional teams to gather requirements and define technical specifications.

2. Data Architecture: Develop comprehensive data architecture strategies that support data storage, processing, and analytics requirements. Design data models, data pipelines, and data integration solutions to ensure efficient and reliable data access and analysis.

3. Cloud Infrastructure Management: Implement and manage cloud infrastructure components such as compute, storage, networking, and security services. Optimize cloud resources for cost efficiency and performance.

4. Data Governance and Security: Establish data governance policies and procedures to ensure data quality, privacy, and compliance with regulatory requirements. Implement robust security measures to protect data assets against unauthorized access and data breaches.

5. Analytics and Insights: Drive data-driven decision-making by developing advanced analytics and reporting solutions. Collaborate with data scientists and business analysts to derive actionable insights from data and drive business value.

6. Performance Optimization: Monitor and optimize the performance of cloud-based data solutions to meet SLA requirements. Identify and resolve performance bottlenecks through performance tuning and optimization techniques.

7. Continuous Improvement: Stay current with emerging cloud technologies and data management trends. Evaluate new tools and technologies to enhance our cloud infrastructure and data capabilities.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• 5+ years of experience in cloud architecture and data management roles.
• Proficiency in cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Strong understanding of data architecture principles and best practices.
• Experience with data modeling, ETL processes, and data warehousing.
• Hands-on experience with cloud-native data services such as AWS Glue, Azure Data Factory, or Google BigQuery.
• Familiarity with programming languages such as Python, Java, or Scala.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
• Strong problem-solving skills and attention to detail.

Preferred Qualifications:

• Certification in cloud computing (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert).
• Experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Knowledge of big data technologies such as Hadoop, Spark, or Kafka.
• Experience with machine learning and AI technologies for data analytics.
• Familiarity with DevOps practices and CI/CD pipelines.