Principal Data Architect

Mississauga · MississaugaFull-Timelead

Data ArchitectData & AI

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Quick Summary

Key Responsibilities

Establish Product & Engineering-wide standards for schemas, naming conventions, event patterns, canonical models, and data representation. Define how data persists across multiple layers (OLTP, OLAP,

Requirements Summary

The Engineering Architecture team sets the technical direction for the Product & Engineering ecosystem at PointClickCare. Their job is to ensure systems are coherent, scalable, secure,

Technical Tools

Data ArchitectData & AI

At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.

With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.

At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.

Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.

**Travel to Office expectations**

For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.

For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.

The Engineering Architecture team sets the technical direction for the Product & Engineering ecosystem at PointClickCare. Their job is to ensure systems are coherent, scalable, secure, and aligned to business strategy. The team designs and maintains the overall system architecture, establishes shared principals and standards so teams don’t have to reinvent the wheel and translates business priorities into technical direction.

This role is accountable for making data coherent, scalable, financially sustainable, and architecturally future-proof — ensuring our AI and analytics ambitions rest on a durable foundation. This role is not a technical lead role buried in implementation. It is a strategic, cross-cutting position responsible for defining and driving a unified data direction across the organization — spanning architecture standards, persistence strategy, technology evaluation, cost optimization, and AI enablement.

Responsibilities

~1 min read

→Establish Product & Engineering-wide standards for schemas, naming conventions, event patterns, canonical models, and data representation.

→Define how data persists across multiple layers (OLTP, OLAP, lakehouse, vector stores, feature stores) based on scale, performance, access patterns, governance, and compliance requirements.

→Set best practices for partitioning, sharding, indexing, storage tiering, lifecycle management, and performance optimization.

→Drive reduction of storage and compute costs through architectural optimization, compression, deduplication, and workload rationalization.

→Lead technology evaluations and define decision frameworks (e.g., Databricks vs Snowflake, Hudi vs Delta vs Iceberg, lakehouse vs warehouse, batch vs streaming).

Responsibilities

~1 min read

→Define when to use batch, micro-batch, streaming, and event-driven architectures across domains.
→Architect data foundations that power AI/ML and GenAI use cases, including semantic layers, feature stores, and vector-based retrieval (RAG).
→Establish governance guardrails for PHI/PII, interoperability standards (FHIR, USCDI), and data contracts.
→Bridge Product and Engineering toward a common data language, replacing fragmented local conventions with standards.
→Drive architectural decisions when teams are misaligned; balance long-term integrity with near-term delivery pressure.
→Protect PCC's ability to own, leverage, and commercialize its data assets while meeting interoperability obligations.

Requirements

~1 min read

-10+ years of experience in data architecture, with at least 5 years operating in complex, multi-domain environments

-Deep expertise in multi-layer persistence architectures and modern data platforms (e.g., Snowflake, Databricks, Delta, Hudi, Iceberg).

-Strong understanding of partitioning, sharding, storage tiering, and workload isolation strategies

-Experience enabling production AI/ML workloads, including semantic/feature layers and RAG pipelines.

-Hands-on fluency with tables, events, APIs, and how data structures connect to business models and monetization.

-Experience evaluating and selecting technologies based on cost, performance, scalability, governance, and operational complexity

-Crisp communication skills across technical and executive audiences.

-Understanding of healthcare data standards (FHIR, USCDI) and regulatory frameworks (HIPAA), or ability to ramp quickly.

-Ability to combine strategic vision with pragmatic urgency — knowing when 'good enough now' beats 'perfect later' without allowing architectural drift.

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