Principal BI Engineer

mer 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.

You have what it takes if you have...

• 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).

Extra dose of awesome if you have...

• 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.

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