Principal Software Developer – Data Architect

Overview

Principal Software Developer – Data Architect Jobs in Toronto, Canada at Caseware

Title: Principal Software Developer – Data Architect

Company: Caseware

Location: Toronto, Canada

Category:

Caseware is one of Canada’s original Fintech companies, having led the global audit and accounting software industry for over 30 years, with more than 500,000 users across 130 countries and available in 16 different languages. While you might not have heard of us (yet) over 36,000 accounting and audit professionals list Caseware as a skill on their Linked In profiles!

We are seeking a Principal Software Developer – Data Architect to drive the technical vision and architectural strategy of Caseware’s enterprise data platform, including the AI‑Ready Data Platform. This role will define the enterprise data architecture, patterns, and modeling standards that deliver trusted, governed, high‑quality data products forming a foundational data platform for our cloud offerings, enabling AI capabilities and secure interoperability with customer systems, while powering analytics and strengthening our core products.

This role requires deep experience designing modern data platforms and practical familiarity with how data supports AI workflows, including retrieval, search, grounding, and secure interoperability patterns. You will apply this experience to build a data foundation that supports AI workflows and agentic capabilities, analytics, and customer interoperability.

This is a key leadership role where you will act as a hands‑on architect while mentoring the development team, guiding the long‑term technical vision, shaping enterprise data architecture standards across teams, and contributing to crucial AI and data platform projects.

Employment Type

This is a full‑time permanent position.

Location

This is a hybrid role requiring the successful candidate to work 3 days a week in our Toronto office located at 351 King St E Suite 1100 Toronto ON.

What you will be doing

• Lead enterprise data platform architecture and modernization:
  Define and execute the technical strategy for a scalable, AI‑Ready, enterprise data platform, including Sherlock modernization, lakehouse architecture, data products, interoperability, and the patterns and capabilities needed to support AI‑Ready use cases.
• Establish data architecture patterns:
  Create and evolve reference architectures, modeling standards, guardrails, and best practices for our foundational data platform, including Iceberge‑based lakehouse architecture, medallion patterns, ingestion, normalization, data quality, and interoperability.
• Use and mentor teams on AI‑assisted workflows:
  Apply AI tools in daily architecture, analysis, documentation, and prototyping, and mentor teams in responsible usage that improves design quality, data discovery, and delivery effectiveness.
• Oversee key platform projects:
  Contribute heavily to AI‑Ready data platform initiatives and cross‑product data architecture improvements, including data layer re‑architecture for our SE and Sherlock products, schema modernization, and data model evolution.
• Mentor and lead:
  Guide teams in delivering projects, fostering a mentorship culture, and ensuring adherence to high standards in data engineering practices, data modeling, data quality, and platform architecture.
• Drive best practices:
  Collaborate with R&D groups to implement best practices for making trusted, AI‑Ready, and securely interoperable data products, including data contracts, ingestion and normalization standards, and improving consistency and reuse across products.
• Partner on data governance and security:
  Work with Security and product teams to define data classification, retention, tenant isolation, and access controls for datasets and data products.
• Enable adoption through paved roads:
  Provide reference implementations and blueprints that make it easy for teams to produce data products and integrate with the data platform.
• Architect for data observability:
  Define and implement standards for data quality, lineage and traceability, data dictionary controls, freshness monitoring, and alerting, so data products are reliable and audit‑ready.

What you will bring

• 10+ years of experience in software development and data engineering, with at least 5 years in a senior technical leadership role, preferably as a Principal Developer or Data Architect.
• Deep…