Principal Data Engineer

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., * 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.

• 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).