Senior Solutions Engineer

Summary

Join Forma.ai, a Series B startup revolutionizing sales compensation, as a Staff Analytics Engineer. Reporting to the VP of Analytics & Data Science, you will build the foundation for scalable, reliable, and high-impact advanced analytics. Working with diverse customer data, you'll build and optimize code for big data pipelines, architectures, and datasets. You will collaborate with various stakeholders to identify areas for improvement and manage competing priorities. This role requires strong technical skills, collaboration, and a passion for data. Forma.ai offers a collaborative and supportive work environment.

Requirements

• Minimum 7 years of hands-on experience with Python and SQL in analytics engineering, data engineering, or a closely related field; familiarity with APIs is a strong asset
• Advanced proficiency in PySpark and/or Databricks, with a deep understanding of performance optimization and modern data lake architectures
• Strong customer empathy and a passion for building end-to-end, user-facing data products
• Exceptional communication skills and a collaborative, solution-oriented approach to problem-solving
• Proven ability to thrive in a detail-driven, cross-functional environment, working closely with Product, Engineering, and Analytics teams
• Demonstrated enthusiasm for continuous learning and skill development, with a genuine passion for data
• Interest in exploring and adopting emerging technologies to enhance data ingestion and processing efficiency

Responsibilities

• Build and optimize scalable data pipelines using PySpark and Databricks
• Design and maintain clean, well-structured data models to support analytics and reporting
• Collaborate with Product, Engineering, and Customer Success teams to deliver high-quality, actionable datasets
• Lead technical initiatives to improve data infrastructure, performance, and reliability
• Mentor junior team members and promote best practices in data quality, testing, and governance
• Contribute to long-term data architecture and strategy

Preferred Qualifications

• Experience with data observability platforms such as Datadog
• Experience in product analytics, machine learning, or Business Intelligence (BI)