Principal Software Developer – Data Architect
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Monthly Salary:
Posted on:
19 hours ago
Vacancies:
1 Vacancy
Job Summary
Caseware is one of Canadas original Fintech companies having led the global audit and accounting software industry for over 30 years with more than 500000 users across 130 countries and available in 16 different languages. While you might not have heard of us (yet) over 36000 accounting and audit professionals list Caseware as a skill on their LinkedIn profiles!
We are seeking a Principal Software Developer Data Architect to drive the technical vision and architectural strategy of Casewares 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:
Contact:
What 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.
- Deep experience designing modern data platforms on cloud-native infrastructure (AWS preferred) including lakehouse and warehouse patterns medallion architecture ingestion from OLTP systems ETL/ELT pipelines distributed processing with Spark Trino and MapReduce and delivering analytics and AI-Ready data lakes at scale with strong operational practices.
- 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.
- Hands-on experience with core data technologies and integration patterns: MongoDB Amazon DocumentDB MS SQL Server DynamoDB AWS ElastiCache for Redis and Valkey; event streaming and queueing using SNS/SQS. Postgres pgvector and Kafka or Pub/Sub are an asset.
- Hands-on experience with AWS data platform services: S3 S3 Express Athena Glue Catalog Lake Formation OpenSearch Serverless S3 Vector Storage Iceberg Lambda Step Functions EKS ETL on EMR and EMR Serverless.
- Proven ability to architect and deliver scalable reliable data systems and product data architectures guiding teams in data models storage and integration architectures data contracts data domain taxonomy schema and event versioning and resolving performance and scale bottlenecks.
- Proficiency in data movement and performance architecture: Experience designing replication event sourcing and CDC/change tracking strategies safe historical reprocessing patterns and performance optimization through query analysis indexing and partitioning.
- 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.
- Strong technical leadership: Experience mentoring teams setting engineering and architecture standards and influencing technical direction across multiple teams.
- Experience working with DevOps teams CI/CD pipelines infrastructure-as-code and operational tooling to deliver scalable resilient data platforms and pipelines.
- Communication and collaboration skills to align cross-functional teams and engage with senior leadership on technical strategy trade-offs and decisions. Strong English language communication and collaboration skills
Key Success Factors:
- Establish a solid technical strategy: Collaborate with data platform product and architecture leadership to define the AI-Ready Data Platforms technical direction ensuring alignment with business growth scalability and interoperability objectives.
- Deliver architecture patterns and standards: Define prototype and socialize key data architecture patterns and modeling standards backed by reference documentation and architecture decision records that teams can apply consistently.
- Advance key platform initiatives: Contribute significantly to AI-Ready Data Platform initiatives and cross-product data architecture improvements strengthening the foundation for AI capabilities interoperability scalability and performance.
- Mentor and guide teams: Cultivate high-performing development teams driving adoption of best practices in data modeling data quality governance and operational excellence.
Technologies youll work with:
- Core (current): AWS S3 S3 Express DynamoDB Athena Glue Catalog Lake Formation OpenSearch Serverless S3 Vector Storage EMR/EMR Serverless Spark Trino MapReduce Iceberg Lambda Step Functions EKS SNS/SQS; MongoDB Amazon DocumentDB MS SQL Server Redis/Valkey; Java (Spring) Python.
- AI platform & agent tooling (preferred familiarity): AWS Bedrock (including models such as Anthropic Claude) AWS AgentCore (Runtime/Gateway/Memory/Identity) LangGraph Langfuse MCP LaunchDarkly; embeddings vector retrieval and RAG workflows; AWS Knowledge Bases; AWS Textract.
- Observability & operations: CloudWatch New Relic OpenTelemetry.
- Emerging: Kafka or Pub/Sub LLM proxy layer (e.g. LLMProxy) Aurora PostgreSQL pgvector.
Perks & Benefits
- Contrato a termino Indefinido with all the legal benefits
- Prepaid Medicine
- Life insurance and funeral assistance
- Internet allowance
- Home office stipend
- Competitive compensation above the market average
- 100% remote work environment and an excellent work-life balance
- Opportunity to work for a growing global SaaS leader company
- A culture that promotes independence innovation trust and accountability
- Open space to be creative innovative and strategize for the future
- Mentorship by a highly experienced professional
- Budget for training we want you to grow
- 5 Personal Time Off days per year
- Sick Leave Top up to total 100% of salary paid by the employer from Day 3 to 90.
- Recognition Award additional paid time off in recognition of the corresponding year of service
- Upgrade vacation starting at 5 years of service
Whats in it for you:
Innovation is at our core. We work with cutting-edge technology in accounting and financial reporting constantly pushing the boundaries to create impactful software solutions.
We are committed to a collaborative culture where your ideas are valued and knowledge sharing is encouraged within a supportive inclusive team.
Work-life balance is important to us. We offer flexible work options remote opportunities and generous time-off policies to ensure a healthy work-life balance.
We offer competitive compensation including a competitive salary and comprehensive benefits such as health insurance and retirement plans.
We are driven by impactful work. Your contributions directly affect how our clients manage financial processes and drive their success.
Recognition and rewards matter to us. We celebrate hard work through recognition programs performance bonuses and opportunities for career growth.
We embrace global opportunities. Work on international projects and collaborate with a diverse global team.
About Caseware:
Casewares cutting-edge software products are meticulously designed for accounting firms corporations and teams are continually collaborating innovating and building upon our existing suite of products. With a customer-focused mindset we are building technology that is shaping what the future of audits financial reporting and financial data analytics will look like.
With a recent strategic investment from Hg Capital in 2020 Caseware is now in its next major growth phase as we double down on the people and products that have made Caseware so successful to date.
One of Casewares core values is Many Voices One Team and with that in mind were dedicated to building teams as diverse as our customers in an equitable and inclusive way. 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 emailprotected.
Background Check:
Any candidates successful in obtaining an offer for a position will need to successfully complete a background check through which typically includes an Identity Verification and Criminal Record Check. Executives and Senior Managers will undergo a Soft Credit Check as well. Candidates residingin the Netherlands and Germany are excluded from undergoing background checks via
Security and Fraud:
Caseware takes the security of candidates seriously. All legitimate communication from us will come from email addresses ending in @ and our open positions are always listed on reputable job boards and on our website We will NEVER ask for payment or financial information from you. If you receive an unsolicited job offer proceed with extreme caution.
Required Experience:
Staff IC
Key Skills
- Kubernetes
- S3
- Google Cloud Platform
- Cassandra
- System Architecture
- Redshift
- AWS
- Cloud Architecture
- NoSQL
- UML
- Kafka
- Distributed Systems
About Company
Accounting, audit, analytics and compliance software built by seasoned accountants. Manage your audit and financial reporting more efficiently with less risk.
