Principal Data Engineer

Overview

We are seeking a Principal Data Engineer and Data Governance Lead with deep Snowflake expertise, strong Master Data Management (MDM) skills, and proven experience leading data governance and managing data and reporting teams. This role unifies data across Salesforce, Hub Spot, Gong, Big Commerce, LMS systems, and internal delivery platforms to enable accurate segmentation, forecasting, GTM insights, operational efficiencies, and AI-driven automation.

The role owns both the technical data foundation and the governance and people leadership required to make data trustworthy and usable  will architect robust data pipelines, establish the enterprise data model, design AI-ready semantic layers, lead the data and reporting function, and coach cross-functional teams on data stewardship in a matrixed environment.

Why this role matters for Teachstone:
Teachstone is pursuing reliable, unified, and well-governed data to achieve our 2026 goals, including profitability, predictability, expanded digital delivery, market diversification, and deeper customer engagement. Today, critical data resides in disconnected systems with inconsistent definitions, duplicated records, and manual reporting workarounds. This role provides the technical, governance, and leadership backbone to:

• Create and enforce a single source of truth across Growth, Delivery, CS, Finance, and Product
• Lead and mature the data and reporting team to deliver consistent, high-impact insights
• Establish sustainable data governance practices that scale beyond individuals
• Enable advanced reporting, forecasting, and AI-driven decision support
• Reduce manual reporting, rework, and operational friction across the organization

• 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
• Evalu…