Principal BI Engineer

We are seeking a Principal BI & Advanced Analytics Engineer to help us unlock the next frontier of insight-driven decision making. The ideal candidate combines a passion for solving business problems with data, a deep understanding of Sales, Marketing, Customer Success, and Product domains, and hands-on expertise in modern BI and AI/ML technologies.

This role goes beyond traditional BI-it includes developing predictive models, uncovering insights with machine learning, and driving adoption of AI-powered decision making. You'll use tools like Python, Snowflake Cortex, and AWS SageMaker, alongside SQL, Snowflake, and Tableau, to deliver scalable solutions that influence strategy and execution across the enterprise.

• Lead with data evangelism across business functions-Sales, Marketing, Revenue Operations, Customer Success & Support-bringing clarity, insights, and action through storytelling.
• Design and build advanced dashboards and analytics pipelines, leveraging AI/ML to solve high-impact business problems.
• Use Python, R, and AI/ML frameworks to build models such as churn prediction, lead scoring, sentiment analysis, and cross-sell/upsell recommendations.
• Leverage Snowflake Cortex for scalable in-database machine learning and AWS SageMaker for building and deploying custom ML models.
• Drive AI/ML experimentation, including feature engineering, model evaluation, and production deployment, in collaboration with data science and engineering teams.
• Write efficient, scalable SQL to analyze and transform large datasets; build data marts in Snowflake to support analytics and machine learning use cases.
• Mentor junior team members and review work for quality, scalability, and performance.
• Translate business needs into clear requirements and data products that improve decision-making.
• Own data quality and governance for your domain; troubleshoot and resolve issues with urgency.
• Educate business users on how to self-serve using modern data platforms and tools.

• Excellent communication skills and experience working cross-functionally with business and IT teams.
• Proven leadership in BI, Advanced Analytics, and ML model deployment in an enterprise setting.
• 10+ years of experience in data analysis and visualization using SQL and Tableau with a strong focus on UI/UX.
• 5+ years of hands-on Advanced Analytics/Data Science experience using Python and/or R.
• 2+ years of experience working with Snowflake, including Snowflake Cortex or similar ML services.
• Familiarity with AWS SageMaker, ML Ops pipelines, and deploying ML models at scale.
• Deep understanding of data warehousing concepts and experience building trusted datasets and data products.
• Strong domain knowledge in CRM and MarTech applications (Salesforce, Marketo, Gainsight).
• Bachelor's degree in Computer Science, Data Science, or equivalent (MBA a plus).

• Experience with dbt, Informatica, or Matillion for data transformation and orchestration.
• Tableau Desktop Certified Professional.
• Experience with predictive analytics in go-to-market functions (e.g., campaign attribution, customer lifetime value modeling, lead prioritization).
• Familiarity with LLMs, vector databases, or emerging GenAI capabilities for enterprise use cases.