Senior Data Architect - Big Data (AWS) - Canada

Rackspace Technology; Toronto; On-site; CAD 90,000 - 140,000; Full time

Job summary

An innovative firm seeks a Big Data Architect to lead the design and implementation of cutting-edge data solutions. You will collaborate with a talented team to create modern data platforms that support analytics and AI use cases. This role offers the opportunity to work with the latest cloud technologies, including AWS, while addressing complex data challenges. If you're passionate about data and eager to make a significant impact, this position is perfect for you. Join a company that values diversity, innovation, and your professional growth in a dynamic environment.

Qualifications

• 5+ years leading data solutions from design to implementation.
• Experience with AWS, SQL, NoSQL, and data pipelines.
• Strong skills in data modeling and warehousing.

Responsibilities

• Lead end-to-end modern data platforms for analytics and AI.
• Collaborate with architects and engineers on data structures.
• Address data privacy, security, and processing challenges.

Skills

SQL

Data Modeling

Data Warehousing

Problem Solving

Analytical Skills

Agile Methodologies

Leadership

Cloud Technologies

Education

Bachelor's degree in Computer Science

Master's degree in Information Management

Tools

AWS

Tableau

Informatica

JIRA

Git

Jenkins

Job description

As a full spectrum AWS integrator, we assist hundreds of companies in realizing the value, efficiency, and productivity of the cloud. We guide customers on their journey to enable, operate, and innovate using cloud technologies – from migration strategy to operational excellence and immersive transformation.

If you enjoy a challenge, you'll love it here, because we solve complex business problems daily, building and promoting innovative technology solutions that impact our customers' success. We are committed to your professional and personal growth.

Overview

As a Big Data Architect, you are passionate about data and technology solutions, eager to learn and stay updated with market trends. You will play a key role in delivering modern data solutions for clients, including data ingestion/data pipeline design and implementation, data warehouse & data lake architectures, cognitive computing, and cloud services. You are enthusiastic about data, possess strong problem-solving and analytical skills, are tech-savvy, and have a solid understanding of software development.

If working with cutting-edge technology excites you and you love solving customer problems, we want to hear from you. It's time to rethink the possible. Are you ready?

What you'll be doing:

1. Lead, define, and implement end-to-end modern data platforms supporting analytics and AI use cases.
2. Collaborate with enterprise architects, data architects, ETL developers & engineers, data scientists, and information designers to identify and define data structures, formats, pipelines, metadata, and workload orchestration capabilities.
3. Address data privacy & security, ingestion & processing, storage & compute, analytical & operational consumption, data modeling, data virtualization, self-service data preparation & analytics, AI enablement, and API integrations.
4. Serve as the technical liaison between customers and engineering teams.
5. Work with the sales team to develop and execute strategies for adopting AWS and big data technologies, and help build service offerings.
6. Promote AWS and AWS Data services to customers as an evangelist.
7. Travel up to 50% of the time.

Qualifications & Experience:

1. Over 5 years of experience leading data solutions from design to implementation, supporting on-premise, cloud (preferably AWS), and hybrid architectures for analytics and AI.
2. More than 5 years of experience architecting data extraction, transformation, and loading solutions from diverse sources using SQL, NoSQL, and data pipelines for various workloads.
3. At least 3 years of experience in analytics/data management strategy, architectural planning, business case development, and effort estimation for analytics projects.
4. Minimum of 3 years working in cloud or complex multi-server environments, with AWS experience required.
5. Ability to translate complex technical concepts into understandable language for stakeholders.
6. Experience with Agile methodologies in data projects.

Additional Capabilities:

• Strong skills in SQL, database management, data modeling, and warehousing.
• Programming experience in Java, .NET, Python, Scala, JavaScript, etc.
• Experience with AWS cloud Big Data & Analytics services (e.g., S3, Redshift, Athena, EMR, Glue).
• Experience with industry-standard dashboarding/reporting tools like Tableau or Qlik.
• Familiarity with ETL tools such as Informatica, Talend, SSIS.
• Strong leadership skills in managing teams and training.
• Preferred AWS certifications in architecture, data engineering, or development.
• Data expertise in industries like Financial Services, Retail, Energy, Healthcare, or Government.
• Experience implementing data security, encryption, compliance, and access management.
• Knowledge of software configuration management tools like JIRA, Git, Jenkins, TFS, Shell scripting, PowerShell, Bitbucket.

Educational Qualifications:

• Bachelor’s degree or higher in Computer Science, Information Management, Big Data & Analytics, or related fields.

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About Rackspace Technology

We are multicloud solutions experts, combining leading technologies across applications, data, and security to deliver end-to-end solutions. Recognized as a great place to work, we attract and develop top talent. Join us to embrace technology, empower customers, and shape the future.

More on Rackspace Technology

We thrive through our shared goal: to be valued team members on an inspiring mission. We value diversity, innovation, and serve our customers and communities globally. We are committed to equal employment opportunity and provide accommodations for those with disabilities or special needs.