• Configure, customize, and maintain Zuora Billing, including product catalog, rate plans, subscriptions, invoicing, taxation, payments, and related workflows. • Partner cross-functionally with Sales, Finance, RevOps, and Engineering to support and optimize the SaaS subscription and order-to-revenue lifecycle. • Support end-to-end order-to-revenue processes by troubleshooting issues, performing root cause analysis, and implementing sustainable solutions. • Build and maintain Zuora workflows, notifications, custom fields, data mappings, and Salesforce integrations, including data migration activities. • Participate in Agile/Scrum ceremonies and ensure system changes follow best practices, compliance standards, and internal governance requirements.

While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations in Canada Location: Montreal, QC As a Solutions Architect at Databricks within the Field Engineering org you will partner with our customers to design scalable data architectures using Databricks technology and services. You have technical depth and business knowledge and can drive complex technology discussions which express the value of the Databricks platform throughout the sales lifecycle. In partnership with our Account Executives, you will engage with our customers' technical leads, including architects, engineers, and operations teams with the goal of establishing yourself as a trusted advisor to achieve tangible outcomes. You will work with teams across Databricks and our executive leadership to represent your customer's needs and build valuable customer engagements and report to the Field Engineering Manager. The impact you will have: - You will work with Sales and other essential partners to develop account strategies for your assigned accounts to grow their usage of the platform. - Establish the Databricks Lakehouse architecture as the standard data architecture for customers through excellent technical account planning. - You will build and present reference architectures and demo applications for prospects to help them understand how Databricks can be used to achieve their goals to land new users and use cases. - Capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects; prove out the Databricks technology for strategic customer projects; and validate integrations with cloud services and other 3rd party applications. - Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars. What we look for: - 5+ years in a customer-facing pre-sales, technical architecture, or consulting role with expertise in at least one of the following technologies: - Big data engineering (Ex: Spark, Hadoop, Kafka) - Data Warehousing & ETL (Ex: SQL, OLTP/OLAP/DSS) - Data Science and Machine Learning (Ex: pandas, scikit-learn, HPO) - Data Applications (Ex: Logs Analysis, Threat Detection, Real-time Systems Monitoring, Risk Analysis and more) - Experience translating a customer's business needs to technology solutions, including establishing buy-in with essential customer stakeholders at all levels of the business. - Experienced at designing, architecting, and presenting data systems for customers and managing the delivery of production solutions of those data architectures. - Fluent in SQL and database technology. - Debug and development experience in at least one of the following languages: Python, Scala, Java, or R. - [Desired] Built solutions with public cloud providers such as AWS, Azure, or GCP - [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research) - Travel to customers in your region up to 30% of the time. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticpates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. Canada Pay Range $160,500—$246,100 CAD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

• Translate Complex Systems into Real-World Solutions • Partner with customers to understand technical environments, constraints, and goals • Design solution architectures that reflect real-world conditions (latency, bandwidth, reliability) • Communicate complex distributed systems concepts in a clear, practical way • Lead Technical Pre-Sales Engagements • Support the sales process as the technical counterpart in customer conversations • Guide architecture discussions, whiteboarding sessions, and technical discovery • Build trust through clarity, depth, and honest assessment of tradeoffs • Design for Imperfect Environments • Architect solutions that operate across distributed, hybrid, or constrained infrastructure • Identify risks early—network limitations, integration complexity, system dependencies • Ensure designs prioritize resilience, performance, and long-term operability • Bridge Sales and Engineering • Translate customer needs into actionable inputs for engineering teams • Collaborate on solution feasibility, tradeoffs, and delivery expectations • Stay engaged through early delivery to ensure alignment between design and execution • Operate with Ownership and Flexibility • Navigate ambiguity in a fast-moving, startup environment • Contribute across roles when needed—from architecture to early implementation support • Help shape how TWG delivers and scales its solutions over time

• Lead forward-compatible requirements definition for each Year 1 workstream, ensuring Year 1 decisions account for the technologies and loads arriving in Years 2 and 3 • Build the full cross-domain dependency map across all four workstreams — making inter-domain relationships explicit for sequencing decisions • Work directly with client SMEs on facility readiness assessments and infrastructure sequencing across sites • Apply the Epic-first evaluation framework — assess native Epic capabilities before recommending third-party solutions • Produce the technical sections of the Execution Blueprint: dependency model, facility deployment plan, forward-compatible workstream requirements • Collaborate daily with the Senior Health IT Strategist to ensure technical findings feed directly into stakeholder alignment and narrative