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About the Role
Drive the technical vision and architectural strategy of Caseware’s enterprise data platform, including the AI-Ready Data Platform. Define enterprise data architecture, patterns, and modeling standards to deliver trusted, governed, high-quality data products. This role enables AI capabilities, secure interoperability, and powers analytics.
Responsibilities
- Lead enterprise data platform architecture and modernization, defining and executing the technical strategy for a scalable, AI-Ready, enterprise data platform.
- Establish data architecture patterns, creating and evolving reference architectures, modeling standards, guardrails, and best practices.
- Use and mentor teams on AI-assisted workflows, applying AI tools and guiding responsible usage.
- Oversee key platform projects, contributing to AI-Ready data platform initiatives and cross-product data architecture improvements.
- Mentor and lead teams in delivering projects, fostering a mentorship culture and ensuring adherence to high standards.
- Drive best practices by collaborating with R&D groups to implement standards for trusted, AI-Ready, and securely interoperable data products.
- Partner on data governance and security, working with Security and product teams to define data classification, retention, tenant isolation, and access controls.
- Enable adoption through paved roads by providing reference implementations and blueprints.
- Architect for data observability by defining and implementing standards for data quality, lineage, traceability, data dictionary controls, freshness monitoring, and alerting.
Requirements
- 10+ years of experience in software development and data engineering, with at least 5 years in a senior technical leadership role.
- Deep experience designing modern data platforms on AWS cloud-native infrastructure.
- Practical, hands-on use of AI tools to improve data architecture and engineering workflows.
- Hands-on experience with core data technologies and integration patterns.
- Hands-on experience with AWS data platform services.
- Proven ability to architect and deliver scalable, reliable data systems and product data architectures.
- Proficiency in data movement and performance architecture.
- Experience defining data governance and platform adoption standards in large organizations.
- Experience enabling secure interoperability patterns with customer systems and AI workflows.
- Familiarity with AI-ready data patterns is preferred.
- Practical familiarity with AI platform integration concepts is preferred.
- Strong technical leadership experience, including mentoring teams and setting standards.
- Experience working with DevOps teams, CI/CD pipelines, infrastructure-as-code, and operational tooling.
- Communication and collaboration skills to align cross-functional teams and engage with senior leadership.
Skills
- Data Architecture
- AI-Ready Data Platform
- Lakehouse Architecture
- Data Products
- Interoperability
- AI Capabilities
- Data Governance
- Data Modeling
- Data Quality
- Cloud Offerings
- Analytics
- Retrieval
- Search
- Grounding
- AWS Cloud-Native Infrastructure
- Medallion Patterns
- ETL/ELT Pipelines
- Spark
- Trino
- MongoDB
- Amazon DocumentDB
- MS SQL Server
- DynamoDB
- AWS ElastiCache for Redis
- Valkey
- SNS/SQS
- Postgres
- pgvector
- Kafka
- Pub/Sub
- S3
- S3 Express
- Athena
- Glue Catalog
- Lake Formation
- OpenSearch Serverless
- S3 Vector Storage
- Iceberg
- Lambda
- Step Functions
- EKS
- ETL on EMR
- EMR Serverless
- Data Contracts
- Schema Modernization
- Event Versioning
- Replication
- Event Sourcing
- CDC/Change Tracking
- Embedding Pipelines
- Vector-Based Retrieval
- RAG Data Workflows
- Real-time/Event-Driven Data Flows
- MCP
- AWS Bedrock
- AWS Knowledge Bases
- DevOps
- CI/CD Pipelines
- Infrastructure-as-Code
- CloudWatch
- New Relic
- OpenTelemetry
- LLMProxy
- Aurora PostgreSQL
Location
- Toronto, ON
Work Type
- Hybrid
- Full-time
- Permanent
Experience Level
- Principal
- Senior Technical Leadership
- 10+ years of experience
- 5+ years in a senior technical leadership role
Benefits
- Competitive compensation
- Competitive salary
- Comprehensive benefits
- Health insurance
- Retirement plans
- Flexible work options
- Remote opportunities
- Generous time-off policies
About the Company
- Caseware is one of Canada's original Fintech companies, leading the global audit and accounting software industry for over 30 years.
- Caseware has over 500,000 users across 130 countries and is available in 16 languages.
- Over 36,000 accounting and audit professionals list Caseware as a skill on their LinkedIn profiles.
- Caseware's cutting-edge software products are designed for accounting firms, corporations, and governments.
- Teams continually collaborate, innovate, and build upon the existing suite of products with a customer-focused mindset.
- Caseware is building technology that shapes the future of audits, financial reporting, and financial data analytics.
- With a strategic investment from Hg Capital in 2020, Caseware is in its next major growth phase.
- One of Caseware's core values is Many Voices, One Team.
- Caseware is dedicated to building teams as diverse as its customers in an equitable and inclusive way.
Equal Opportunity
- We welcome and encourage candidates of all backgrounds to apply.
- Should you require accommodations or have any questions at any point during the application or interview process, please e-mail our People Operations team at talent@caseware.com.