Senior Data Architect

Company Description

Nimble Science is at the forefront of developing next-generation microbiome-based diagnostics and supporting microbiome-based therapeutics. By leveraging innovative capsule-based sampling technology, we enable liquid biopsies that target the small intestine, enhancing understanding and diagnosis of intestinal health conditions. Our collaborative efforts span globally, making us a leader in gut health research and technological development.

We are seeking a driven and detail-oriented Senior Data Architect to support our Data Science and Manufacturing- and Clinical Operations Analytics and play a critical role in driving our mission forward. This is an opportunity to grow professionally within a dynamic health tech start-up and contribute to groundbreaking advancements in GI health.

Role Description

As a Data Architect you will play a key role in developing the architecture and platform to collect and build high-quality data sets for use in downstream analysis. Reporting to the VP Data Science, your focus will be to understand and optimize all data inputs across the business, eliminating redundancies, improving data quality, and establishing scalable frameworks that support advanced analytics and data science initiatives.

The successful candidate will serve as the bridge between business units, data engineering, analytics, and data science teams to develop a streamlined and trusted data architecture. They will create and maintain data models, data governance frameworks, and data lifecycle processes that enable consistent reporting, historical data preservation, point-in-time analysis, and reliable decision-making.

This role is critical in ensuring that organizational data remains complete, accurate, accessible, and fit for purpose while reducing complexity and improving operational efficiency.

Qualifications

• Bachelor’s degree in computer science, Data Science, Information Systems, Engineering, or a related discipline.

• 4+ years of experience in data architecture, data engineering, data governance, or related roles.

• Demonstrated experience designing enterprise-scale data architectures.

• Strong understanding of relational and dimensional data modeling.

• Experience with data warehouses, data lakes, lake house and modern cloud-based data platforms.

• Solid experience with use of Github Copilot or equivalent, to accelarate design, documentation and software solution encoding and testing, as well as for AI assisted data curation.

• Proven programming track record using Python, Bash and Linux based data transformation automation.

• Dashboard building experience, using PowerBI, R Shiny, Tableau or equivalent.

• Experience implementing ontologies, data quality, governance, and metadata management frameworks.

• Strong knowledge of ETL/ELT processes and enterprise data integration practices.

• Experience managing historical data, snapshots, slowly changing dimensions, and data versioning concepts.

Preferred Skills and Experience

• Experience supporting Data Science or AI/ML teams.

• Experience with Azure, AWS, or Google Cloud data platforms.

• Knowledge of master data management (MDM) methodologies.

• Familiarity with data cataloging and lineage tools.

• Experience working within regulated data environments.

• Data governance certifications (DAMA, CDMP, etc.) are considered an asset.

• Experience with regulated environments is a plus.

Key Competencies

• Strategic thinking and enterprise-wide perspective.

• Strong analytical and problem-solving skills.

• Ability to influence stakeholders across business and technical teams.

• Excellent communication and documentation abilities.

• Attention to detail and commitment to data quality.

• Ability to balance governance requirements with business agility.

Position Details

• Full-time. Work Schedule: Monday to Friday, Regular working hours. Candidates should be adaptable to schedule adjustments to meet operational needs. Eligibility: This position restricts eligibility to only Canadian citizens, permanent residents, Open Work permit holders or persons to whom refugee protection have been conferred under the Immigration and Refugee Protection Act at the time of hire.

Application Deadline: November 30th 2026, application screening will begin immediately, and the position may be filled and closed prior to the deadline.

To apply, please send your cover letter expressing your interest and how your previous experience can contribute to the needed skills, along with your resume, in a single pdf to careers@nimblesci.com with “Data Architect – [Full name]” in the subject line.

If you have any further questions or need additional information, please don't hesitate to ask. We thank all candidate’s applications interest. Please note that only those candidates under consideration will be contacted.

Nimble Science is committed to Employment Equity and Diversity. We do not discriminate against any employee or applicant for employment because of national origin, race, religion, ethnic group, age, disability, gender, sexual preference, sexual or gender identity, status as a veteran or any other federal, provincial, or local protected class.

We welcome and encourage applications from people with disabilities. Accommodation is available on request from candidates taking part in all aspects of the selection process.

Nimble Science is committed to providing a safe and healthy working environment for our team members, customers, clients, contractors, business partners, guests, and members of the public with whom we regularly interact.