Kajabi · 2 days ago

Data Engineer Lead

United States

Full-time

Remote

Senior Level

$144K/yr - $193K/yr

5+ years exp

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CRME-Commerce

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Responsibilities

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.

Qualification

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Data EngineeringMentoringData PipelinesData WarehousesData ModelsCloud EnvironmentData GovernanceTechnical ConceptsData SolutionsEvent-Driven ArchitecturesCross-Functional Data ModelsBusiness NeedsLeadershipCommunicationProblem-SolvingTeamworkCreator commerce industrySnowflakeDbtSemantic modelHigh-performance analytics databasesApache DruidClickHouseFast-paced environment

Required

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

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

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

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.

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

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