Senior Manager of Data Engineering

Summary

Join Appfire as a Senior Manager and Head of Data Engineering, leading the company's data strategy and a team of engineers. You will be responsible for Appfire's central data asset, Firelake (Snowflake Data Cloud), building and maintaining data pipelines, and implementing best-in-class solutions. This key role requires strong leadership, technical expertise, and collaboration across teams. You will define a data vision, manage a global team, and contribute hands-on to data projects. Appfire offers a remote-first work environment with flexible time off and various benefits, including comprehensive health insurance, skills development opportunities, and a strong commitment to employee well-being.

Requirements

• 10+ years of experience in data engineering, with expertise in data ecosystem architecture and best practices
• 4+ years of experience leading Data Engineering teams and subject matter experts
• Strong organizational skills, with the ability to manage multiple concurrent projects at both the individual contributor and team levels
• Proven experience building and executing company-wide data strategies under a unified vision
• Experience rallying a team around a shared purpose
• Python, SQL, AWS, DBT, and Snowflake experience required

Responsibilities

• Lead Appfire’s data ecosystem, defining a vision for what data means to the company and executing a roadmap to achieve that vision
• Manage and grow a global team of Data Engineers, developing solutions that connect, monitor, and activate our data ecosystem while improving its robustness, capabilities, and cost-effectiveness
• Push the boundaries of Firelake through experimentation and integration across the company, including AI/ML, Data Products, APIs, and Services
• Collaborate across teams to ensure consistency, efficiency, and a single version of the truth for company-wide data
• Own Data Governance standards in partnership with executive leadership

Preferred Qualifications

• Experience with production model pipelines and Data Science / Machine Learning stacks is preferred
• Experience working and leading in a remote-work environment

Benefits

• Every Appfire employee is eligible for company equity
• 401(k) Matching Component
• Access to the Appfire University learning platform – a hub of knowledge, interactive resources, and engaging instructor-led courses designed to fuel your learning journey with unparalleled depth and accessibility
• Access to O’Reilly learning platform for technical skills training
• 10 paid holidays + Flexible PTO – no set number of days that you must take in a year
• 100% company-paid health insurance
• 50/50 split dental and vision insurance
• 24 hours of paid time off to participate in Appfire Town, Appfire’s Corporate Social Responsibility (CSR) Program
• Flexible Spending Accounts
• Mobile phone and Internet stipend