About Airwallex Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide - including Brex, Rippling, Navan, Qantas, SHEIN and many more - with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you're ready to do the most ambitious work of your career, join us. Attributes We Value We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you're motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero-to-one ideas into real products, and you "get stuff done" end-to-end. You use AI to work smarter and solve problems faster. Here, you'll tackle complex, high-visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let's build what's next. Principal Architect, Data Knowledge Platform Hiring Location: San Francisco Team Introductions: The Knowledge Platform team is at the heart of our company's data and AI strategy. We are building the foundational infrastructure that empowers the entire company to leverage data, AI, and ML into business impact. We accomplish this by creating platforms that handle the entire data and AI/ML lifecycle, simplifying the interface while providing proper safety and governance. This includes managing our data infrastructure (Databricks, Spark, Kafka, etc.), the technology to serve that data to our users (RAG, MCP, etc.), and the platform to host and govern these AI/ML models. In 2026, our team's overarching mission is to evolve our full data ecosystem-encompassing both platform and models-into a fully AI agent-ready infrastructure; we will empower customers to engage directly with the data platform to extract actionable value through capabilities like analytics and natural language querying, while also upgrading the platform to deliver robust, real-time performance for instant, data-driven decision-making. Who You Are? Role Overview: We are looking for a Principal Architect who operates at the intersection of platform architecture, customer-facing data products, and AI enablement. This is not a traditional infrastructure role. Your mandate is to architect the governed, reusable data, knowledge, and skill layer that powers analytics, AI agents, and real-time decision systems across the business. As the most senior individual contributor on the team, you will be the primary technical authority responsible for evolving our platform beyond raw data storage into a structured system of three layers: - Data Layer: You will design the patterns for governed, well-modeled structured datasets-from transactional records and event streams to dimensional models and feature tables. You will ensure high quality, strong lineage, and regional compliance are "baked in" to the foundation, keeping it clean, trusted, and queryable. - Knowledge Layer: You will architect the semantic layer that makes data meaningful to both humans and machines. This includes business metric definitions, entity relationships, and contextual documentation. Your goal is to ensure an analyst or an AI agent can ask "what is our net revenue retention in SEA?" and receive a consistent, trustworthy answer without ever having to reverse-engineer a schema. - Skills Layer: You will define the architecture for operationalized capabilities that act on data and knowledge. This includes reusable analytical workflows, agent-callable tools, automated pipelines, and transformation primitives. These are the building blocks that allow AI agents and internal teams to reason and act reliably, rather than just querying data. Responsibilities: - Own the technical execution of regional and global data localisation strategies within the Databricks environment. - Design scalable patterns that satisfy strict regulatory requirements while maintaining a unified global data model across priority markets. - Reconcile local compliance constraints with global consistency in definitions, metrics, and knowledge artifacts. - Partner with Data Science, AI Engineering, Product, and Risk teams to ensure the platform supports experimentation and high-quality decision-making. - Lead global data modeling efforts, creating unified schemas that accommodate regional variance. - Define and implement "Agent Interfaces"-APIs and tools that enable AI agents to interact with Knowledge and Skills layers. - Implement Governance-as-Code, ensuring automated data lineage and quality controls are embedded directly into the data platform. Minimum Requirements: - 10+ years of experience designing and building large-scale data systems with strong architectural fundamentals. - Hands-on experience with the Databricks ecosystem, including Unity Catalog and Delta Lake. - Experience implementing semantic layers or metric stores to enable consistent reporting and analytics. - Solid understanding of how AI/agent-based systems consume data, with experience building APIs or data services to support them. - Experience designing data solutions that meet regional data residency and compliance requirements. - Demonstrated senior-level individual contributor experience, including leading design reviews and mentoring engineers. At Airwallex, you can make an impact in a rapidly growing, global fintech. We want you to share in our success, which is why you'll be offered a competitive salary plus valuable equity within Airwallex. We also like to ensure we create the best environment for our people by providing collaborative open office space with a fully stocked kitchen. We organise regular team-building events and we give our people the freedom to be creative. Applicant Safety Policy: Fraud and Third-Party Recruiters To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. Equal opportunity Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don't regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know. #BI-Hybrid

• Maintain data environments and processes in Azure and on-premises, ensuring continuous and reliable operation; • Perform advanced administration and support for Databricks (Azure), including troubleshooting and operational tuning; • Monitor and track pipelines, jobs, integrations, and data routines with a preventive and corrective approach; • Implement fixes and improvements to existing processes, focusing on root cause analysis and recurrence reduction; • Lead incident management and resolution (SLA, prioritization, communication, follow-up until stabilization); • Support BI and development teams, ensuring environments are ready for new releases and demands; • Continuously evolve and improve DataOps/CI-CD pipelines for data (governance, quality, and reliability); • Collaborate with infrastructure and architecture teams when needed (capacity, access, security, network, performance); • Ensure adherence to best practices for security, governance, and compliance in the data context; • Propose and implement improvements to observability, monitoring, and alerts (metrics, logs, traceability).

Role Description We are looking for a Data Architect to join our growing team! - Proven experience designing enterprise-scale data architecture. - Strong experience designing enterprise data architecture solutions, including: - Data models - Integration patterns - Platform architecture - Scalable data pipeline frameworks - Hands-on experience with cloud platforms such as AWS, Azure, OCI, or GCP, with the ability to design scalable and secure cloud-based data solutions. - Good understanding of modern data management platforms and solutions such as: - Databricks - Snowflake - Cloud data lakes - Lakehouse platforms - Similar technologies - Ability to define and implement data architecture standards, patterns, and best practices across: - Ingestion - Transformation - Storage - Consumption - Analytics layers - Strong understanding of data governance, including: - Data quality - Metadata management - Lineage - Access controls - Privacy - Security - Compliance requirements - Experience with Medallion Architecture and modern data engineering patterns, including bronze, silver, and gold layers for reliable and reusable data products. - Ability to partner with engineering teams on data pipeline design, performance optimization, autoscaling, CI/CD, DevOps, Terraform, Azure DevOps, and infrastructure-as-code practices. - Strong solutioning skills with the ability to translate business and technical requirements into scalable, secure, and cost-effective data platform solutions. Benefits - Be a part of a company that supports diversity and inclusion in the workplace. - Local and global opportunities for internal rotation and international mobility. - Clear view of your career progression with the company. - Flexible and casual culture with employee events and amenities. - 401k plan with company match to accelerate your savings plan. - Competitive healthcare benefits with HSA matching. - Access to Qualitest Tech Academy with 3000+ training courses, mentorship programs, and leadership programs. - Corporate Wellness Program that pays for gym memberships and offers additional vacation time for attendance. - Salary of $160,000 - $170,000 annually. - Bonuses via Client Referral and Employee Referral Programs. - Access to Qualitest Employee Perks for discounts on travel, electronics, and more.

Role Description As a senior member of the Data Engineer team, you will be responsible for leading the design, development, and optimization of enterprise-grade data solutions within the Microsoft Fabric ecosystem. This role requires deep technical expertise, strategic thinking, and the ability to mentor junior engineers while collaborating with cross-functional teams. You will work closely with data scientists, analysts, and other stakeholders to ensure seamless data integration, transformation, and storage, enabling data-driven decision-making across the organization. What you’ll do: - Design and orchestrate complex integrations across Data Factory, REST APIs, and other enterprise data services. - Lead scalable ELT strategies using Spark Notebooks, Data Factory, and Synapse Pipelines. - Architect multi-domain Lakehouse environments, including structure, metadata, and governance standards. - Optimize Data Warehousing workloads and configure performance settings for high-throughput environments. - Design enterprise-grade data models and refresh strategies for scalable, governed Power BI reporting. - Define and enforce modeling standards and best practices across engineering and analytics teams. - Develop reusable, optimized Spark jobs and configure compute pools for cost-efficient performance. - Establish naming conventions, workspace governance, and CI/CD deployment strategies across Fabric. - Lead data governance frameworks, including sensitivity classifications and access-control standards. - Build monitoring dashboards, alerts, and automated testing for Fabric pipelines and operations. - Demonstrate expert-level platform knowledge with the ability to troubleshoot, automate, and optimize end-to-end Fabric solutions. - Partner with architects, data scientists, and business stakeholders to align technical strategy with business needs. - Mentor engineers, review notebooks and data models, and drive adoption of Microsoft Fabric best practices. - Align Microsoft Fabric capabilities with enterprise data strategy, roadmaps, and long-term growth plans. - Lead cross-team data initiatives and influence architectural direction, governance decisions, and platform evolution. - Leverage AI coding agents and AI-assisted development tools (e.g., GitHub Copilot, Windsurf, or similar) to accelerate data engineering workflows, automate repetitive tasks, and improve code quality across the Fabric ecosystem. - Author and review advanced DAX measures, calculated columns, and time-intelligence logic to support complex, governed Power BI semantic models. - Translate ambiguous business problems into clear technical requirements, adapting communication style to audiences ranging from executive sponsors to frontline analysts with varying levels of data literacy. Qualifications - 5+ years of experience with deep expertise across the Microsoft data ecosystem, including Microsoft Fabric, Data Factory, Spark, Synapse, and Power BI. - Proven ability to design and orchestrate complex data integrations, leveraging Data Factory, REST APIs, and other enterprise data sources. - Leadership in defining and executing scalable ELT strategies using Spark notebooks, Data Factory, and Synapse pipelines. - Experience architecting multi-domain Lakehouse environments, with strong governance around structure, metadata, and reuse. - Advanced knowledge of data warehousing optimization, including performance tuning and workload configuration. - Expertise in designing scalable Power BI semantic models, refresh strategies, and governed reporting solutions. - Ability to define and enforce data modeling standards and best practices across multiple teams. - Strong skills in writing reusable, high-performance Spark jobs and configuring compute pools for optimal performance and cost efficiency. - Experience establishing naming conventions, workspace governance, and CI/CD deployment strategies. - Leadership in data governance, including sensitivity classifications, security models, and access control frameworks. - Ability to build and maintain monitoring, alerting, and automated testing for Fabric pipelines and data assets. - Expert-level understanding of the Fabric platform, with the ability to troubleshoot, automate, and optimize end-to-end solutions. - Strong partnership skills, collaborating with architects, data scientists, and business stakeholders to align technical solutions with business goals. - A passion for mentoring and technical leadership, including code reviews, model reviews, and driving adoption of new Fabric capabilities. - Ability to align Microsoft Fabric implementations with enterprise data strategy and long-term growth plans. - Hands-on experience using AI coding agents and AI-assisted development tools in a data engineering context; comfort integrating AI into daily development workflows and evangelizing adoption across the team. - Advanced DAX proficiency, including complex measure authoring, calculation groups, and optimization techniques for large-scale Power BI semantic models. - Strong business acumen with a genuine interest in understanding business domains, KPIs, and decision-making processes. - Preferred Microsoft Fabric certification – DP600, DP700. - Proven experience leading cross-team data initiatives, influencing platform architecture and governance direction. - Strong problem-solving skills and ability to work in a collaborative environment. - Excellent verbal, written, communication, presentation, organizational, and interpersonal skills. Compensation A reasonable estimate of the current base pay range for this position in Ontario is $91,200 to $114,000 annually. Actual salary will be based on a variety of factors, including location, experience, skill set, education, and related certification. The range for this position in other geographic locations may differ. Benefits - Health and Wellbeing: Medical and Dental Care, Employee & Family Assistance Program. - Financial Benefits: RRSP/DPSP Retirement Savings Plan with Company Matching, Life and Disability Insurance. - Paid Time Off: Vacation and Sick Leave, Holidays, Parental Leave, Volunteer Days, Bereavement Leave. - Additional Perks: Employee Discount Program.