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Principal Data Engineer
Location
United States
Posted
92 days ago
Salary
$135K - $175K / year
Seniority
Lead
Job Description
Principal Data Engineer
Teachstone
• Design, build, and maintain high-performance ELT/ETL pipelines into Snowflake across Enterprise systems • Architect optimized Snowflake schemas, warehouses, and data models that support analytics, forecasting, and operational workflows • Build scalable transformation logic using SQL, Python, dbt, and other modern data tools • Own and lead Teachstone’s data governance framework, including standards, policies, operating cadences, and decision rights • Define and maintain canonical enterprise data models for accounts, customers, products, segments, and lifecycle stages • Establish and enforce field definitions, naming conventions, data lineage, and documentation standards • Lead cross-system deduplication, normalization, and data quality initiatives • Chair or co-lead an enterprise data governance council, driving alignment across Growth, Delivery, CS, Finance, and Product • Ensure governance practices are practical, adopted, and embedded into day-to-day workflows—not theoretical • Manage and develop the data engineering and reporting team, including analysts and analytics engineers as applicable • Set clear priorities, standards, and delivery expectations for data pipelines, dashboards, and reporting outputs • Balance short-term reporting needs with long-term platform and governance maturity • Coach team members on best practices in data modeling, governance, and stakeholder partnership • Establish sustainable operating rhythms for intake, prioritization, and delivery of data work • Implement validation frameworks to monitor data accuracy, completeness, and consistency • Develop automated error detection, alerting, and traceability for critical pipelines • Ensure adherence to performance, privacy, and compliance requirements • Partner with Growth, CS, Delivery, Product, Marketing, and Finance to translate business needs into governed, scalable data solutions • Coach non-technical stakeholders on data ownership, stewardship, and responsible data practices • Help leaders understand how upstream data decisions affect downstream reporting, metrics, and AI use cases • Operate effectively within a matrixed organization with shared ownership and competing priorities • Optimize Snowflake compute usage, storage strategies, and query performance • Evaluate emerging tools and technologies to strengthen the data platform • Support long-term modernization, including real-time ingestion, event-driven pipelines, and AI/ML enablement
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 experience (RBAC, warehouse design, performance tuning, cost management)
- Snowflake certification required
- Advanced SQL and proficiency in Python or another data-oriented language
- Experience with dbt, Matillion, Fivetran, Airflow, Prefect, or similar tools
- Experience leading analytics engineering or enterprise reporting functions
- Demonstrated familiarity with semantic layers and AI/ML-enabled analytics
- Demonstrated experience designing and leading data governance and MDM initiatives
- Strong communication skills with the ability to influence technical and non-technical stakeholders
- Comfort operating in a matrixed organization.
Benefits
- Medical/dental
- 401(k)
- PTO
- insurance
- development opportunities
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