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Senior Analytics Engineer

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! 

What you'll be doing:

Reporting to the Analytics Lead, the Senior Analytics Engineer will be part of the Analytics & Data Science team in our growing Pune office. You will be critical in the evolution of our next-generation Databricks/Spark-based data platform and help scale our ecosystem along with our processing ever-increasing volumes of data. You'll take advantage of burst scaling and distributed computing paradigms in our back-end pipeline. You'll participate in our team discussions on solution implementation and design explorations and work on custom customer-specific extensions or features.

A bit more about the team:

Forma.ai’s sales compensation data platform continually expands in complexity with thousands of commission variables maintained through internal and external APIs with the growth of our client base. Our product interfaces with both internal teams and directly with customers, and the Analytics and Data Science team is the bridge between our Customers and our Engineers. We work closely with various teams across the organization such as Customer Delivery, Engineering and Product, to learn about our customers’ businesses and configure the Forma.ai platform to best support their incentive compensation programs. 

You will:

  • Be ready to collaborate closely with North American team to establish support and enforce best practices for existing customers and onboard new ones.  
  • Supporting new customer onboarding, urgent engineering escalations, and security operations. 
  • Configure, maintain, and troubleshoot automation of workflows and processes to increase team efficiency and standardization using Python.  
  • Migrate existing data pipelines to new architecture (i.e. Databricks) while maintaining advocacy for product quality, security and optimal performance. 
  • Ship and develop features/enhancements with minimal guidance from team. (i.e. build expanded capability to data pipelines).
  • Migrate existing data pipelines to new architecture (i.e. Databricks) while maintaining advocacy for product quality, security and optimal performance. 
  • Mentor junior employees on daily tasks and ongoing projects as needed

What we're looking for:

  • 4+ years with significant professional experience in Python or similar languages. 
  • Someone who wants a hybrid role in engineering and data. 
  • Disclose technical product issues across multiple teams like Product and Customer Onboarding teams in different time zones. 
  • Self-starter with a solution-oriented mindset. 
  • Proficient in SQL and has a background in traditional relational databases with experience coding, testing, and deploying ETL pipelines. 
  • Solve complex technical problems and own project from conception to production. 
  • Communicate effectively and regularly to achieve alignment with peers while providing clear status updates. 
  • Ability to work in an agile and iterative software development process with strong attention to detail in ensuring data accuracy. 
  • Have strong customer empathy and interest in being involved in the product direction. 

Nice to haves: 

  • Background in building end to end data pipelines with experience using platforms like Spark (ideally paired with Databricks). 
  • Work in ETL technologies. 

Technologies we use: 

  • Data Engineering: Python, SQL, Postgres, Django 
  • Data Processing and Orchestration: Databricks/Spark/Delta Lake 

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. ­ 

Our commitment to you: 

At Forma.ai, we’re diverse by design. We’re committed to having a workforce that reflects the communities in which we live and work. We also aim to have a barrier-free recruitment and selection process. We’ll work with applicants requesting accommodation at any stage of the hiring process. 

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. 

Please note all interviews are currently being conducted virtually. 

We thank all applicants for their interest. 

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