Principal Software Developer – Data Architect

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 LinkedIn profiles!We are seeking a Principal Software Developer – AI Data Architect to drive the technical vision and architectural strategy of Caseware’s 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 hands-on experience delivering data for AI workflows and practical familiarity with modern LLM tooling and AI platform integration 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.📍 Location: This is a fully remote position located in Colombia. You will be reporting to:Bill DavisContact:Maira Russo - Senior Talent Acquisition PartnerWhat you will do:Lead AI-Ready Data Platform architecture and delivery: Define and execute the technical strategy for a scalable AI-Ready data platform, including the patterns and capabilities needed to make data usable for AI use cases and interoperability.Establish data architecture patterns: Create and evolve reference architectures, modeling standards, guardrails, and best practices for our foundational data platform, including medallion and lakehouse architecture, ingestion, normalization, data quality, and AI interoperability.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 product, 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 data AI-Ready and securely interoperable, 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 AI-Ready 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 AI-Ready 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. • Demonstrated experience architecting and enabling data for AI workflows in production, such as embedding pipelines, vector-based retrieval, RAG data workflows, and real-time/event-driven data flows that support agentic systems and AI integrations. • Experience with AI platform integration and orchestration patterns, including agent workflow orchestration and LLM/agent observability and evaluation, partnering closely with data science and engineering teams to operationalize AI-Ready datasets and pipelines. Familiarity with LangGraph, Langfuse, MCP, AWS Bedrock, AWS AgentCore, and LaunchDarkly is preferred. • Experience enabling secure interoperability patterns with customer AI systems, including governed data access, tenant-aware controls, and safe integration patterns for customer-managed AI workflows. • Experience defining AI and data governance and platform adoption standards in large organizations, including controls for privacy, access, auditability, safe reuse, and operational guardrails for AI-Ready datasets and data products. • Experience designing modern data platforms on cloud-native infrastructure (AWS preferred), including lakehouse patterns, medallion architecture, ETL/ELT pipelines, distributed processing with Spark, Trino, and MapReduce, analytics and AI-Ready data at scale, with strong o