Senior Data Architect - Canada

Abnormal Security Corporation; Canada; Remote; CAD 120,000 - 160,000; Full time

Job summary

Abnormal Security Corporation is looking for a Data Architect to lead the design of secure and scalable data systems. This foundational role involves implementing data governance frameworks and managing enterprise data models, making it essential for the company's data-driven future. The ideal candidate will have extensive experience in cloud-based data environments, particularly with tools like Snowflake and dbt, and will thrive in a fast-paced, collaborative setting.

Benefits

Competitive Compensation

Flexible PTO

Generous Healthcare Coverage

Equity Participation

Fully Distributed Workforce

Qualifications

• 7+ years of experience in data architecture or related roles.
• Expertise in cloud-based data warehousing and SQL.
• Proven experience in implementing data governance frameworks.

Responsibilities

• Design and implement scalable, secure data architecture.
• Establish enterprise data models and governance frameworks.
• Collaborate across teams to support data needs.

Skills

Data governance

Data quality

Data modeling

SQL

Cloud-based data warehousing

Data security

Collaboration

Education

Bachelor's degree in Computer Science or related field

Tools

Snowflake

dbt

Fivetran

Airflow

Job description

Abnormal AI is seeking a Data Architect to lead the design and execution of scalable, secure, and intelligent data systems that power our business operations and decision-making. As part of the IT organization, you will define the architecture and strategy for our enterprise data ecosystem, with a focus on governance, quality, and usability. Your work will support cross-functional needs—including G&A, GTM, and product—enabling trusted data for analytics, AI, and business automation.

This is a foundational role for Abnormal’s data future. You’ll be responsible for implementing data governance frameworks, managing enterprise data models, and guiding the evolution of our cloud-native data infrastructure. The ideal candidate brings deep technical expertise, strong business acumen, and a passion for building systems that scale with excellence.

Who you are

• A systems thinker who designs data architecture to be modular, scalable, and business-aligned.
• Obsessed with data quality and integrity—recognizing governance and MDM as enablers of speed and trust.
• Hands-on technical leader with experience in enterprise data platforms like Snowflake, dbt, and modern ETL tools.
• Someone who thrives in fast-paced environments with shifting priorities and complex stakeholder needs.
• Able to translate business needs into technical solutions while balancing flexibility, security, and compliance.
• An evangelist for data standards, best practices, and the long-term value of clean architecture.
• Naturally collaborative, empathetic, and driven by a desire to support teams through better data.
• Familiar with the demands of cybersecurity or high-growth startup environments.
• Committed to velocity, ownership, and continuous improvement as core ways of working.
• Passionate about the potential of AI and machine learning, and how clean data accelerates that future.

What you will do

• Design and implement scalable, secure, and governed data architecture across enterprise systems.
• Establish and maintain enterprise data models, taxonomies, and metadata management standards.
• Lead the rollout of master data management (MDM) and data governance frameworks.
• Architect and optimize our Snowflake data warehouse and associated tools (e.g., dbt, Fivetran, Sigma).
• Define data integration patterns and ensure high data quality, consistency, and lineage.
• Collaborate across IT, GRC, GTM, and Product teams to support cross-functional data needs.
• Enable self-service analytics and AI/ML capabilities by structuring data for usability and accessibility.
• Monitor, document, and continuously improve data flows, storage, access, and compliance.
• Evaluate and integrate cloud-native data technologies, staying current with trends in data and AI.
• Mentor engineers and analysts on data modeling, system design, and governance best practices.

Must Haves

• 7+ years of experience in data architecture, data engineering, or related roles in modern data environments.
• Expertise in cloud-based data warehousing (especially Snowflake), SQL, and data modeling techniques.
• Proven experience implementing enterprise data governance and MDM programs.
• Familiarity with data orchestration and transformation tools like dbt or Airflow.
• Strong understanding of metadata, lineage, and data quality frameworks.
• Deep knowledge of data security, compliance, and privacy in distributed environments.
• Demonstrated ability to work cross-functionally and translate business needs into technical architecture.
• Excellent written and verbal communication skills, with a bias for documentation and clarity.
• Experience leading data initiatives in cybersecurity or fast-growing startup settings.

Nice to Have

• Exposure to AI/ML systems and a working knowledge of data readiness for AI applications.
• Experience integrating BI tools (e.g., Sigma, Looker, Tableau) with governed data models.
• Familiarity with data catalogs, lineage tools, or data mesh principles.
• Previous work with real-time or event-based data architectures.
• Certifications in Snowflake, cloud platforms (AWS, GCP, Azure), or data governance frameworks.

#LI-MA1

As part of Abnormal AI's secure hiring practices, we conduct video interviews and validate applicant identity at various stages through our recruitment process. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards.Abnormal AI is committed to protecting your privacy. Please review our Abnormal AI Applicant Privacy Policy for full information about how Abnormal AI uses your personal information. By submitting an application you confirm that you have read and understand the Abnormal AI Applicant Privacy Policy .

About Abnormal AI

We're one of the world's fastest growing cybersecurity companies, on a mission to protect the modern workplace from the most pressing threats. Our AI-native technology was built from the ground up to tackle forward-looking security challenges, and our team works with bleeding-edge technology to keep our customers and their people safe as attacks grow ever more sophisticated.Our team is what makes us successful, which is why we're committed to a culture of learning, ownership, and high performance, where you'll have the opportunity to accelerate your growth and unlock excellence with the support of talented colleagues.

Taking care of our team goes beyond the office. Our compensation and benefits philosophy is designed to put attract, motivate, and retain top talent: Competitive Compensation We pay competitively to attract, reward, and retain top talent in the market

Equity is an important part of our total comp strategy

When the company does well, we all do well. Equity is an important and exciting part of our total compensation strategy as a pre-IPO startup. We’re guided by the belief our team members should share in the financial success of our company and grant equity accordingly.

Flexible PTO

All regular salaried team members enjoy flexible PTO. We want team members to grow with us, and a big part of that is making sure our team has the opportunity to rest and recharge. We also observe 12 paid holidays every year.

Generous Healthcare Coverage for You and Your Family

Taking care of our team goes beyond the office. In the US, we cover 100% of employee health care premium costs, and up to 100% for dependents, depending on the plan. Internationally, we offer similarly generous coverage, customized to each country in which we operate.

Fully Distributed Workforce

Operating as a globally-distributed, majority remote company means we get to work with talented folks, no matter where they live. We prioritize a balance of deep focus time with Zoom meetings, and regular in-person events.As a fast growing startup, we continuously review, improve, and personalize our benefits offerings based on the team’s input. Don’t see something that’s important to you? Let us know!

Our Interview Process

We value transparency at Abnormal, and our interview process is no exception.

Inclusion Matters

Abnormal is committed to creating a diverse work environment. All qualified applicants will receive consideration without regard to race, religion, gender, gender identity, sexual orientation, national origin, genetics, disability, age, or veteran status.

Privacy Policy

Learn more about Abnormal's Privacy Policy here .

We have been made aware that there are potential scammers posing as Abnormal AI recruiters. Please ensure that any communication you have with our recruitment team comes from an official Abnormal email domain. Your safety and privacy are important to us, and we will never request sensitive personal information outside of our secure application process. Thank you for helping us maintain a secure and trustworthy application experience. Should you encounter what you believe to be a scamming attempt at any time in your recruiting process, please let us know at [e-mail]