Principal Data Engineer

This job is with Cornerstone OnDemand, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

We are seeking a  Principal Data & 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 Sage Maker , alongside  SQL, Snowflake, and Tableau , to deliver scalable solutions that influence strategy and execution across the enterprise.
In this role, you will...
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 Sage Maker  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 Sage Maker ,  ML Ops pipelines , and deploying ML models p understanding of  data warehousing concepts  and experience building trusted datasets and data products.
Strong domain knowledge in  CRM and Mar Tech 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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