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Data Engineer Lead



Data Science
United States · Remote
Posted on Friday, June 28, 2024

About Us

Founded in 2010 in Irvine, California, Kajabi is the leading creator commerce platform, helping creators turn their knowledge, experience, and expertise into sustainable online businesses. With Kajabi's integrated platform, creators have a single ecosystem to build and market their digital products, including online courses, communities, live coaching, and more. Tens of thousands of creators and entrepreneurs rely on Kajabi as the backbone of their business and have collectively earned over $7 billion from more than 85 million customers. Learn more at kajabi.com.

Data Engineer Lead

We are seeking a talented and experienced Data Engineer Lead to join our growing team and play a pivotal role in shaping the future of our data infrastructure.

The Impact You Will Make

Strategic Data Solutions: Your work in architecting and developing scalable data solutions will empower the entire organization to make data-driven decisions, leading to better business outcomes and strategic growth.

Customer Success Enablement: By creating robust data models and ensuring data accuracy, you will directly contribute to improving the customer experience on the Kajabi platform, helping our users achieve their business goals.

Driving Innovation: Your leadership in adopting cutting-edge data engineering practices and technologies will keep Kajabi at the forefront of the industry, driving continuous improvement and innovation.

Cross-Functional Collaboration: Collaborate with various teams to understand their data needs, providing insights that support both internal business intelligence and customer-facing analytics, ultimately influencing key business decisions.

Role Expectations

Technical Leadership: Allocate approximately 60% of your time to hands-on technical work, including data pipeline development, data modeling, and ensuring data quality. The remaining 40% will focus on strategic planning, team leadership, and cross-functional collaboration.

Collaborative Development: Engage with product, engineering, and business stakeholders to gather requirements, provide data insights, and ensure alignment on project goals.


Provide strategic vision and direction: Collaborate with stakeholders across the organization to define a long-term data strategy that aligns with business goals and drives data-driven decision making.

Focus on creating cross-functional data models: Enable self-serve analytics and move towards a semantic model in dbt.

Lead by example: Architect and develop complex data pipelines, data models, and data solutions, ensuring scalability, reliability, and efficiency.

Empower the data team: Foster a collaborative and high-performing data engineering team by providing mentorship, guidance, and opportunities for professional development.

Champion data quality: Implement data governance best practices and lead initiatives to ensure data accuracy, consistency, and completeness across the organization.

Bridge the gap: Collaborate with product, engineering, data science, and business stakeholders to understand data needs and translate them into actionable technical solutions.

Stay ahead of the curve: Stay up-to-date on the latest data engineering trends and technologies and champion their adoption to continuously improve our data infrastructure.


Experience: 5+ years in a data engineering tech lead role, with a proven track record of leading and mentoring a team.

Technical Proficiency: Proven experience in building and scaling data pipelines, data warehouses/lakes, and data models in a cloud environment.

Data Governance: Deep understanding of data governance principles and experience implementing best practices.

Leadership: Strong leadership and communication skills, with the ability to motivate and inspire a team, as well as clearly communicate technical concepts to non-technical stakeholders.

Passion: A passion for building high-quality, scalable data solutions and a relentless focus on enabling data-driven decision making across the organization.

Event-Driven Architecture: Experience with event-driven data architectures and creating cross-functional data models to support various business needs.

Bonus if you have

  • Experience working in a fast-paced startup environment.
  • Familiarity with the creator commerce industry.
  • Hands-on experience with Snowflake and dbt.
  • Proficiency in dbt and experience in moving towards a semantic model within dbt.
  • Experience with high-performance analytics databases such as Apache Druid and ClickHouse.

Kajabi Team Benefits Package

  • Company paid premiums for medical, dental and vision insurance for self and family
  • Company sponsored HSA account
  • Company 401K, 100% match up-to 6% of employee contributions
  • Flexible vacation policy
  • Telecommuting
  • Fitness incentives package
  • Company funded mental health resources
  • Wellness perks
  • Casual Dress

Pay Range

$144,000 -$193,000 + equity + bonus

Kajabi LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, protected veteran status, or any other basis protected by applicable law, and will not be discriminated against on the basis of disability.