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Principal Data Engineer
Location
United States
Posted
2 days ago
Salary
$135K - $175K / year
Job Description
Role Description
This role offers the opportunity to shape and lead the organization’s enterprise data strategy, bridging technical architecture, governance, and team leadership. You will:
- Design and maintain robust data pipelines.
- Establish a unified enterprise data model.
- Enable AI-ready analytics while ensuring data quality and trustworthiness.
- Drive impact across multiple functions, including Sales, Marketing, Finance, Delivery, and Product, by providing accurate, actionable insights.
- Lead a team of data engineers and analysts.
- Mentor stakeholders on data stewardship.
- Influence enterprise-wide data governance practices.
- Combine hands-on engineering, strategic planning, and cross-functional collaboration in a dynamic, growth-focused environment.
- Operate effectively across locations while leading a high-performing data organization.
Qualifications
- 10+ years of experience in data engineering, including people leadership or functional leadership of data/reporting teams.
- 4+ years of hands-on Snowflake expertise, including warehouse design, RBAC, performance tuning, and cost management; Snowflake certification required.
- Advanced SQL and proficiency in Python or similar data-oriented languages; experience with dbt, Matillion, Fivetran, Airflow, Prefect, or equivalent tools.
- Proven experience leading enterprise reporting, analytics engineering, or data governance initiatives.
- Strong knowledge of semantic layers, AI/ML-enabled analytics, and building AI-ready data solutions.
- Excellent communication skills with the ability to influence technical and non-technical stakeholders in a matrixed environment.
- Preferred: experience in SaaS, education, or services delivery; prior participation in enterprise data strategy or governance councils.
Requirements
- Architect, build, and maintain scalable ELT/ETL pipelines into Snowflake, ensuring optimized performance, storage, and cost efficiency.
- Design enterprise data models, semantic layers, and AI-ready data structures that support reporting, forecasting, and analytics.
- Lead and mature the data engineering and reporting team, providing coaching, setting standards, and managing project delivery priorities.
- Establish and enforce data governance practices, MDM standards, and data quality controls to ensure consistent, reliable, and trustworthy data.
- Partner with cross-functional teams to translate business needs into governed, scalable, and actionable data solutions.
- Monitor and optimize pipeline performance, implement automated validation frameworks, and support continuous improvement initiatives.
- Drive enterprise adoption of data stewardship, ensuring practical governance practices are embedded into daily workflows.
Benefits
- Competitive salary range: $135,000–$175,000, based on experience, skills, and internal equity.
- Comprehensive health, dental, and vision coverage; 401(k) and paid time off.
- Flexible remote work arrangements and professional development opportunities.
- Supportive, collaborative environment fostering growth, innovation, and impact.
- Opportunity to lead high-visibility initiatives that directly influence organizational success and AI-driven decision-making.
Job Requirements
- 10+ years of experience in data engineering, including people leadership or functional leadership of data/reporting teams.
- 4+ years of hands-on Snowflake expertise, including warehouse design, RBAC, performance tuning, and cost management; Snowflake certification required.
- Advanced SQL and proficiency in Python or similar data-oriented languages; experience with dbt, Matillion, Fivetran, Airflow, Prefect, or equivalent tools.
- Proven experience leading enterprise reporting, analytics engineering, or data governance initiatives.
- Strong knowledge of semantic layers, AI/ML-enabled analytics, and building AI-ready data solutions.
- Excellent communication skills with the ability to influence technical and non-technical stakeholders in a matrixed environment.
- Preferred: experience in SaaS, education, or services delivery; prior participation in enterprise data strategy or governance councils.
- Architect, build, and maintain scalable ELT/ETL pipelines into Snowflake, ensuring optimized performance, storage, and cost efficiency.
- Design enterprise data models, semantic layers, and AI-ready data structures that support reporting, forecasting, and analytics.
- Lead and mature the data engineering and reporting team, providing coaching, setting standards, and managing project delivery priorities.
- Establish and enforce data governance practices, MDM standards, and data quality controls to ensure consistent, reliable, and trustworthy data.
- Partner with cross-functional teams to translate business needs into governed, scalable, and actionable data solutions.
- Monitor and optimize pipeline performance, implement automated validation frameworks, and support continuous improvement initiatives.
- Drive enterprise adoption of data stewardship, ensuring practical governance practices are embedded into daily workflows.
Benefits
- Competitive salary range: $135,000–$175,000, based on experience, skills, and internal equity.
- Comprehensive health, dental, and vision coverage; 401(k) and paid time off.
- Flexible remote work arrangements and professional development opportunities.
- Supportive, collaborative environment fostering growth, innovation, and impact.
- Opportunity to lead high-visibility initiatives that directly influence organizational success and AI-driven decision-making.
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