
Senior Solutions Engineer
Compensation
Salary undisclosedDescription
The Role
As a Senior Solutions Engineer, you will play a critical role at the intersection of data, technology, and customer impact. You will lead the design and delivery of scalable, reliable, and high-impact technical implementations for our enterprise clients.
Working with diverse and complex datasets across industries, you’ll build and optimize end-to-end analytics solutions that directly influence how customers engage with the Forma platform. You’ll partner cross-functionally to identify opportunities, scope high-value solutions, and deliver outcomes that drive measurable business impact.
This is a highly visible, client-facing role that combines hands-on technical expertise with strategic thinking.
What You’ll Do
- Lead strategic technical engagements with enterprise clients, guiding solution design for complex business challenges using the Forma platform
- Design, build, and optimize scalable data architectures, pipelines, and workflows (e.g., PySpark, Databricks)
- Translate business requirements into robust, production-ready data solutions
- Design and deliver custom code and customer-specific integrations to extend the Forma platform for unique client requirements
- Partner with Professional Services to extract, transform, and analyze client data to optimize incentive compensation and sales performance strategies
- Collaborate with Product, Engineering, and Customer Success to deliver high-quality, actionable datasets and insights
- Drive improvements in data infrastructure, performance, scalability, and reliability
- Identify opportunities to standardize and productize repeatable solutions
- Mentor and support junior team members; contribute to internal best practices and knowledge sharing
- Act as a trusted technical advisor to both internal and external stakeholders
What We’re Looking For:
Required
- 5+ years of experience in a technical role such as Solutions Engineer, Analytics Engineer, Data Engineer, or Sales Engineer
- Strong proficiency in Python and SQL, with experience writing efficient, production-grade code
- Experience with modern data lakehouse architectures (e.g., Databricks, Snowflake) and a solid understanding of performance and cost optimization
- Experience building and maintaining scalable data pipelines and workflows
- Strong customer empathy and a passion for delivering user-facing data products
- Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders
- Proven ability to operate in a fast-paced, cross-functional environment and manage competing priorities
- Strong problem-solving skills with a solution-oriented mindset
- Demonstrated curiosity and commitment to continuous learning
Nice to Have
- Experience with machine learning, predictive analytics, or optimization models
- Familiarity with BI tools (e.g., Tableau, Looker, Power BI)
- Experience with cloud platforms (AWS, Azure, or GCP)
- Experience integrating with Salesforce or working with financial / sales data
- Prior experience in ICM (Incentive Compensation Management), SPM (Sales Performance Management), or sales operations
What Success Looks Like:
After 30 Days:
- Develop a strong understanding of Forma’s platform, including client-facing features, data flows, and core use cases
- Build working knowledge of our data architecture, repositories, and tooling (e.g., Databricks, S3, GitHub)
- Establish relationships with immediate team members and key cross-functional partners (Product, Engineering, Customer Success)
- Begin contributing to scoped technical tasks and internal data workflows with guidance
- Begin building context on customer implementations, common challenges, and solution patterns
After 60 Days:
- Participate in client engagements and internal solution discussions, building familiarity with customer needs and communication patterns
- Independently execute well-defined technical tasks with high quality and reliability
- Collaborate with cross-functional stakeholders to understand requirements and translate them into technical solutions
- Begin contributing to medium-complexity data pipelines, transformations, or analyses with guidance
- Begin identifying opportunities to improve existing implementations or workflows
After 90 Days:
- Actively contribute to client-facing conversations, providing technical input and solution recommendations
- Independently scope, design, and implement data solutions for customer use cases
- Own delivery of medium-complexity solutions end-to-end with minimal guidance
- Demonstrate strong problem-solving and sound technical judgment in ambiguous situations
- Proactively identify and drive improvements in data workflows, performance, and scalability
- Begin establishing credibility as a trusted technical partner to internal teams and customers
Long Term:
- You consistently deliver high-quality, scalable solutions that drive measurable customer outcomes
- You become a trusted advisor to clients and internal stakeholders
- You identify opportunities to improve processes and influence product direction
- You elevate the team through mentorship and technical leadership
Additional Job Info:
- This position is for an existing vacancy
- Salary range: $110K - $150K CAD
Stack
- Posted
- Apr 21, 2026
- Last seen
- Jun 26, 2026
- First seen
- Jun 26, 2026
- Status
- active