Principal Data Engineer

We are seeking a Principal Data Engineer to drive scalable, business-focused data solutions that power insight-driven decision-making across the enterprise. This role is ideal for someone who combines deep technical expertise in modern data platforms with the ability to translate complex data concepts into clear, actionable insights for non-technical stakeholders.

You will partner closely with Sales, Marketing, Customer Success, and Product teams to design, build, and optimize data models and pipelines that support reporting, analytics, and self-service data access.

In this role, you will:

• Lead data initiatives across business functions (Sales, Marketing, Revenue Operations, Customer Success & Support) by delivering clear, actionable insights and strong data storytelling.

• Design, build, and maintain scalable data pipelines and transformations using Snowflake and dbt .

• Develop and manage dimensional data models and curated data marts to support analytics and reporting.

• Write efficient, scalable SQL to transform and analyze large datasets.

• Partner with business stakeholders to translate requirements into data models and solutions that drive decision-making.

• Explain enterprise data lake and data warehouse concepts clearly to non-technical audiences.

• Ensure high standards for data quality, governance, and reliability .

• Support and enable self-service analytics through well-structured, documented data assets.

• Mentor team members and promote best practices in data engineering and modeling.

You have what it takes if you have:

• 10+ years of experience in data engineering, analytics, or BI in an enterprise environment.

• Strong expertise in Snowflake , including building data pipelines and optimized data structures.

• Hands-on experience with dbt for data transformation and modeling.

• Deep understanding of data warehousing principles , including dimensional modeling (star/snowflake schemas).

• Advanced SQL skills for large-scale data transformation and analysis.

• Experience working with data lakes and modern data platforms .

• Familiarity with Python for data tasks (scripting, automation, light data processing)—no data science experience required.

• Excellent communication skills, with the ability to explain technical concepts to business stakeholders.

• Proven ability to partner cross-functionally and deliver business-impacting data solutions.

An extra dose of awesome if...

• Experience working in AWS or multi-cloud environments .

• Familiarity with orchestration and ETL tools (e.g., Airflow, Informatica, Matillion).

• Experience supporting Tableau or similar BI tools .

• Background supporting CRM / GTM systems (e.g., Salesforce, Marketo, Gainsight).

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Equal Employment Opportunity has been, and will continue to be, a fundamental commitment at Cornerstone OnDemand. All qualified applicants are given consideration regardless of race, color, gender, age, sexual orientation, national origin, marital status, citizenship status, disability, veteran status, or any other protected class as provided in applicable Federal, State, or Local fair employment laws. If you have a disability or special need that requires accommodation, please contact us at View email address on click.appcast.io