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About Forma.ai: Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We’re welcoming equally driven individuals who are excited about creating something big! About the Team Engineers on this team build our rules-based calculation engine for processing sales commissions. This might sound simple if you have never been exposed to sales compensation plans, it is not. We are low on meetings and high on accountability. Most of the team is in the EST time zone, with a few located in PST and Central as well. We are still evolving many areas of the platform, which means there is meaningful room to improve the design, reliability, and scalability of the systems we build. What you’ll be doing Reporting to the Manager of Data Platform, you will play an important role in the evolution of our Spark-based data platform. You’ll design and build data-rich platform capabilities, contribute to system design discussions, and help ensure our data systems remain reliable, maintainable, and scalable as Forma grows. As a Senior Engineer, Data Platform, you are expected to operate with strong ownership and sound technical judgment. This includes identifying risks in the work you own, surfacing edge cases, asking thoughtful questions, and proposing improvements that strengthen the quality and reliability of the platform. You will: Design, build, and improve Spark-based data pipelines and platform services. Work with complex data models representing sales compensation plans, hierarchies, relationships, and enterprise datasets. Build reliable, deterministic data systems that customers and internal teams can trust. Improve testing, observability, data quality, and production reliability across the systems you work on. Partner with Product, Engineering, and Analytics to translate complex business requirements into scalable data designs. Participate in design reviews, code reviews, technical discussions, and knowledge sharing. Use AI tooling to improve delivery speed while maintaining strong engineering standards. What we’re looking for Strong experience building data systems or backend systems in production. Experience with Spark or similar data processing / ETL frameworks. Proficiency in at least one production-grade language such as Python, Java, Scala, Kotlin, Go, C#, or similar. Strong SQL, relational schema design, and data modeling skills. Experience with large-scale, hierarchical, graph-like, relationship-heavy, or workflow-driven datasets. Ability to reason through technical tradeoffs, identify risks, and propose practical improvements. Experience improving scalability, reliability, observability, or maintainability in data-intensive systems. Strong communication skills and comfort collaborating across Engineering, Product, and Analytics. Nice to have Experience building SaaS products for mid-market or enterprise customers. Experience with rule-driven systems, validation workflows, calculation engines, or approval/governance platforms. Familiarity with AWS-based infrastructure and Kubernetes. Familiarity with graph databases or graph-based modeling concepts. Exposure to Sales Performance Management, RevOps, Incentive Compensation, or related domains. Technologies we use Frontend: JavaScript, React, TypeScript Backend: Java/Spring Boot, Django, Postgres Data Platform: Spark Infrastructure: AWS, Docker What success looks like: 30/60/90 daysFirst 30 days You’ll focus on building context across Forma’s product domain, data platform, calculation engine, data models, and engineering practices. By the end of your first 30 days, you will have: Set up your development environment and become comfortable navigating the codebase, data platform, services, and infrastructure. Built a clear understanding of the product domain, Spark-based data flows, and key data models. Learned the team’s practices around testing, observability, deployment, data quality, and reliability. Built relationships with Engineering, Product, and Analytics partners. Shipped small improvements or fixes to build familiarity with the system. First 60 days You’ll begin owning meaningful data platform work and contributing to technical decisions. By the end of your first 60 days, you will have: Taken ownership of a data pipeline, platform component, workflow, or feature area. Designed and delivered maintainable data platform code aligned with team standards. Partnered with Product, Engineering, and Analytics peers to translate requirements into scalable data designs. Identified risks, edge cases, data quality issues, or inconsistencies in the systems you work on. Contributed to improvements in data modeling, pipeline reliability, testing, observability, or service boundaries. First 90 days You’ll be operating as a trusted senior contributor within the team. By the end of your first 90 days, you will have: Designed and delivered a meaningful data platform initiative or major feature. Improved important data models, Spark pipelines, platform services, or workflow handling. Contributed to technical direction through clear, well-reasoned design decisions. Improved the reliability, observability, scalability, or maintainability of data-intensive systems. Helped the team deliver complex calculation and data workflows with greater confidence and clarity. Additional Job Info: This position is for an existing vacancy Salary Range: 150-190K CAD What you can expect from us Meaningful compensation. In addition to your base salary, you’ll join our employee stock ownership plan to further recognize your contributions to Forma.ai’s success. Healthcare coverage. We have a full benefits package that includes medical, dental, vision, disability and life insurance, and a paid parental leave program. Learning and development. Access the resources you want to help you grow in your role by utilizing our $750 yearly training stipend. Growth. You’ll have a huge opportunity to build a career for yourself and gain the type of experience you’re looking for, whether that’s as an individual contributor or as a people leader. Our Values: Work well, together. We’re real. We have kids and pets. Mortgages and student loans. We’re in this together, so no matter how brilliant any one of us is, we always play nice with one another – no exceptions. Be precise. Be relentless. We believe complacency breeds failure, so we set new goals as quickly as we achieve them. We persist in the face of adversity, learn from our mistakes, and push each other to continuously improve. The status-quo is kryptonite. Love our tech. Love our customers. Our platform solves a very complex problem in a currently underserved market. While everyone at Forma isn’t customer-facing, we’re all customer-focused. Maybe even slightly customer-obsessed. ­ Use of AI for Recruitment Currently, Forma.ai does not use artificial intelligence as part of our recruitment process, specifically but not limited to the screening, filtering and shortlisting of applicants. Our commitment to you: Forma is a proud equal opportunity employer that is committed to creating a diverse and inclusive work environment. Every effort to accommodate candidates for accessibility will be made upon request. Information received related to accommodations will be addressed confidentially. We know that applying to a new role takes a lot of effort. You're encouraged to apply even if your experience doesn't precisely match the job description. There are many paths to a successful career and we’re looking forward to reading yours. We thank all candidates for their interest however only qualified applicants will be shortlisted.

What you’ll do

Design and build Spark-based data pipelines and platform services to support a rules-based calculation engine for sales commissions. Collaborate with Product and Analytics teams to translate complex business requirements into scalable and reliable data designs.

Requirements

Requires strong experience building production-grade backend or data systems using Spark and languages like Python or Java. Proficiency in SQL, data modeling, and handling large-scale hierarchical or relationship-heavy datasets is essential.

Benefits

• Employee Stock Ownership Plan • Medical Insurance • Dental Insurance • Vision Insurance • Disability Insurance • Life Insurance • Paid Parental Leave • Yearly Training Stipend

Listed skills

• Kubernetes · Preferred
• SQL · Preferred
• Go · Preferred
• Docker · Preferred
• Django · Preferred
• Kotlin · Preferred
• Java · Preferred
• Spring Boot · Preferred
• C++ · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Spark
• Python
• Java
• Scala
• Kotlin
• Go
• C#
• SQL
• Data Modeling
• Relational Schema Design
• ETL Frameworks
• AWS
• Kubernetes
• Docker
• Spring Boot
• Django

Job areas

• Data & Analytics
• Software
• Technology
• Engineering