Director, Data Engineering

Accountabilities

• Owes the organization’s data strategy, architecture, and engineering execution.
• Designs, builds, and optimizes critical data pipelines connecting business systems, including CRM, billing, and internal platforms, with the company’s data warehouse.
• Defines and executes a long-term data architecture strategy while maintaining hands-on technical involvement in key initiatives.
• Establishes engineering standards for pipeline design, data modeling, data quality, governance, and reliability.
• Leads and grows a multidisciplinary Data organization spanning Data Engineering, Machine Learning Engineering, and Analytics teams.
• Owns team structure, hiring strategy, headcount planning, and budget management for the data function.
• Partners with executive leadership and cross-functional teams to translate business objectives into scalable data platforms and investments.
• Evaluates existing integrations, automation processes, and technical systems to identify opportunities for improvement and modernization.
• Champions AI and automation initiatives by ensuring intelligent systems are built on reliable, accessible, and well-governed data foundations.
• Builds and delivers complex technical solutions while mentoring engineers and establishing a culture of engineering excellence.
• Guides technical decisions around data platforms, AI enablement, and machine learning capabilities.
• Communicates technical strategies, priorities, and tradeoffs effectively with technical and non-technical stakeholders.

Requirements

• Experienced data engineering leader with strong technical depth, proven management experience, and the ability to balance strategic vision with hands-on execution.
• 8+ years of experience in data engineering, software engineering, or related technical fields.
• 4+ years of experience managing engineering teams and developing technical talent.
• Experience building and leading multidisciplinary data organizations of 5+ people.
• Advanced SQL and Python skills with strong understanding of data modeling and master data management (MDM) principles.
• Hands-on experience with Snowflake or similar cloud data platforms.
• Experience with dbt and data orchestration tools such as Airflow, Dagster, or Prefect.
• Proven ability to define data strategies, architecture standards, and scalable engineering practices.
• Experience developing AI and LLM enablement strategies and integrating AI technologies into business workflows.
• Strong understanding of modern data platforms, analytics infrastructure, and automation practices.
• Able to operate at a Director level by managing budgets, prioritizing roadmaps, and influencing executive decisions.
• Strong communication skills with the ability to explain complex technical concepts clearly.
• Experience with AI agents, LLM applications, retrieval systems, or AI orchestration is highly preferred.
• Backend engineering experience, particularly with JavaScript or TypeScript, is a plus.
• Knowledge of ML engineering, MLOps, data governance, PII management, Salesforce, Stripe, Gong, or reverse ETL tools is beneficial.

Benefits

• Competitive base salary range of $200,000 - $230,000 plus a 15% bonus opportunity.
• New hire stock grant.
• 100% employer-paid medical, dental, and vision insurance for employees and dependents.
• 401(k) plan with company contribution.
• Generous paid time off policy.
• Comprehensive parental leave benefits.
• Remote work flexibility across the United States and Canada.
• Opportunity to lead a high-impact data function and shape future AI initiatives.
• Ability to influence company-wide technology strategy and innovation.