Staff Analytics Engineer

About Forma.ai:

Forma.ai is a Series B startup revolutionizing sales compensation design, management, and optimization. We manage billions in annual commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth is fueled by a passion for fundamentally changing how companies use sales intelligence to drive business strategy. We're seeking driven individuals excited about creating something big!

Reporting to the VP of Analytics & Data Science, the Staff Analytics Engineer will build the foundation for scalable, reliable, and high-impact advanced analytics at Forma.ai. Working with diverse customer data across various industries, you will build and optimize code for big data pipelines, architectures, and datasets. You'll collaborate with stakeholders to identify areas for added value while managing competing priorities.

What you'll do:

• 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.

What we're looking for:

Required:

• 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.

Nice to have:

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

Our values:

• Work well, together: We are real people with families and lives outside of work. We support each other and collaborate effectively, ensuring everyone plays nice.
• Be precise. Be relentless: We believe complacency leads to failure. We set new goals quickly, persist through challenges, learn from mistakes, and continuously improve. The status quo is our enemy.
• Love our tech. Love our customers: Our platform solves a complex problem in an underserved market. While not all roles are customer-facing, everyone at Forma is customer-focused, even customer-obsessed.

Our commitment to you:

We understand that applying for a new role requires effort. We encourage you to apply even if your experience doesn't precisely match the job description. There are many paths to a successful career, and we look forward to learning about yours.

We thank all applicants for their interest.